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DeepSeek V4.1 Flash is an AI model from DeepSeek designed for fast, efficient multimodal interactions. It combines native multimodal capabilities with a new architecture focused on stronger performance, faster responses, and lower computational cost.Your use is subject to DeepSeek's [Terms](https://cdn.deepseek.com/policies/en-US/deepseek-terms-of-use.html) & [Privacy](https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html) Policies.
[View API reference](/content/ai-gateway/models/deepseek-v4.1-flash#api/index.html)
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[Get API key](/content/d?to=%2F%5Bteam%5D%2F~%2Fai-gateway%2Fquick-start%3FshowCreateKeyModal%3Dauto%26utm_source%3Dgateway-model-page%26utm_campaign%3Dai-gateway-models&title=Get%20API%20key/index.html) [Read the docs](/content/docs/ai-gateway/index.html)
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AI SDK
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AI SDKAI SDKChat CompletionsChat CompletionsMessagesMessagesResponsesResponses
TypeScriptTypeScriptPythonPython
```ts
1import { streamText } from 'ai'
2
3const result = streamText({
4 model: 'deepseek/deepseek-v4.1-flash',
5 prompt: 'Why is the sky blue?'
6})
```
Copy for agent [Read docs](/content/docs/ai-gateway/sdks-and-apis/ai-sdk/index.html)
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1
AI Gateway
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Modal
100.00%
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Alibaba Cloud
100.00%
4
Wafer
99.99%
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Runware
99.99%
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Fireworks
99.99%
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Novita AI
99.99%
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Particle.AI
99.99%
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Relace
99.99%
10
DeepInfra
99.99%
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DeepSeek
99.98%
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Baseten
99.94%
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Morph
99.91%
14
Together AI
99.87%
15
GMICloud
99.66%
16
Boundless
99.61%
17
Parasail
99.28%
AI Gateway
100.00%
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Alibaba Cloud
100.00%
Good, Sep 24, 10:15 PM
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Baseten
99.94%
Good, Sep 24, 10:15 PM
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Boundless
99.61%
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Degraded, 93.75%, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
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Degraded, 94.12%, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
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Degraded, 94.12%, Sep 25, 11:00 AM
Degraded, 94.12%, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
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Degraded, 86.21%, Sep 25, 1:00 PM
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DeepInfra
99.99%
Good, Sep 24, 10:15 PM
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Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
DeepSeek
99.98%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Fireworks
99.99%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
GMICloud
99.66%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Degraded, 94.12%, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Degraded, 94.12%, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Degraded, 84.21%, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Modal
100.00%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Morph
99.91%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Novita AI
99.99%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Parasail
99.28%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Degraded, 88.89%, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Degraded, 84.00%, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Outage, 57.89%, Sep 25, 10:00 PM
Particle.AI
99.99%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Relace
99.99%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Runware
99.99%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Together AI
99.87%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Wafer
99.99%
Good, Sep 24, 10:15 PM
Good, Sep 24, 10:30 PM
Good, Sep 24, 10:45 PM
Good, Sep 24, 11:00 PM
Good, Sep 24, 11:15 PM
Good, Sep 24, 11:30 PM
Good, Sep 24, 11:45 PM
Good, Sep 25, 12:00 AM
Good, Sep 25, 12:15 AM
Good, Sep 25, 12:30 AM
Good, Sep 25, 12:45 AM
Good, Sep 25, 1:00 AM
Good, Sep 25, 1:15 AM
Good, Sep 25, 1:30 AM
Good, Sep 25, 1:45 AM
Good, Sep 25, 2:00 AM
Good, Sep 25, 2:15 AM
Good, Sep 25, 2:30 AM
Good, Sep 25, 2:45 AM
Good, Sep 25, 3:00 AM
Good, Sep 25, 3:15 AM
Good, Sep 25, 3:30 AM
Good, Sep 25, 3:45 AM
Good, Sep 25, 4:00 AM
Good, Sep 25, 4:15 AM
Good, Sep 25, 4:30 AM
Good, Sep 25, 4:45 AM
Good, Sep 25, 5:00 AM
Good, Sep 25, 5:15 AM
Good, Sep 25, 5:30 AM
Good, Sep 25, 5:45 AM
Good, Sep 25, 6:00 AM
Good, Sep 25, 6:15 AM
Good, Sep 25, 6:30 AM
Good, Sep 25, 6:45 AM
Good, Sep 25, 7:00 AM
Good, Sep 25, 7:15 AM
Good, Sep 25, 7:30 AM
Good, Sep 25, 7:45 AM
Good, Sep 25, 8:00 AM
Good, Sep 25, 8:15 AM
Good, Sep 25, 8:30 AM
Good, Sep 25, 8:45 AM
Good, Sep 25, 9:00 AM
Good, Sep 25, 9:15 AM
Good, Sep 25, 9:30 AM
Good, Sep 25, 9:45 AM
Good, Sep 25, 10:00 AM
Good, Sep 25, 10:15 AM
Good, Sep 25, 10:30 AM
Good, Sep 25, 10:45 AM
Good, Sep 25, 11:00 AM
Good, Sep 25, 11:15 AM
Good, Sep 25, 11:30 AM
Good, Sep 25, 11:45 AM
Good, Sep 25, 12:00 PM
Good, Sep 25, 12:15 PM
Good, Sep 25, 12:30 PM
Good, Sep 25, 12:45 PM
Good, Sep 25, 1:00 PM
Good, Sep 25, 1:15 PM
Good, Sep 25, 1:30 PM
Good, Sep 25, 1:45 PM
Good, Sep 25, 2:00 PM
Good, Sep 25, 2:15 PM
Good, Sep 25, 2:30 PM
Good, Sep 25, 2:45 PM
Good, Sep 25, 3:00 PM
Good, Sep 25, 3:15 PM
Good, Sep 25, 3:30 PM
Good, Sep 25, 3:45 PM
Good, Sep 25, 4:00 PM
Good, Sep 25, 4:15 PM
Good, Sep 25, 4:30 PM
Good, Sep 25, 4:45 PM
Good, Sep 25, 5:00 PM
Good, Sep 25, 5:15 PM
Good, Sep 25, 5:30 PM
Good, Sep 25, 5:45 PM
Good, Sep 25, 6:00 PM
Good, Sep 25, 6:15 PM
Good, Sep 25, 6:30 PM
Good, Sep 25, 6:45 PM
Good, Sep 25, 7:00 PM
Good, Sep 25, 7:15 PM
Good, Sep 25, 7:30 PM
Good, Sep 25, 7:45 PM
Good, Sep 25, 8:00 PM
Good, Sep 25, 8:15 PM
Good, Sep 25, 8:30 PM
Good, Sep 25, 8:45 PM
Good, Sep 25, 9:00 PM
Good, Sep 25, 9:15 PM
Good, Sep 25, 9:30 PM
Good, Sep 25, 9:45 PM
Good, Sep 25, 10:00 PM
Sep 24, 10:15 PMSep 25, 10:00 PM
1
DeepSeek
247.29 tps
2
Particle.AI
237.38 tps
3
Together AI
235.69 tps
4
Boundless
203.48 tps
5
Novita AI
178.60 tps
6
GMICloud
172.44 tps
7
Parasail
165.95 tps
8
Baseten
154.98 tps
9
Alibaba Cloud
128.29 tps
10
Runware
114.15 tps
11
Fireworks
99.73 tps
12
Wafer
93.43 tps
13
Modal
89.46 tps
14
DeepInfra
60.06 tps
15
Relace
47.60 tps
16
Morph
33.00 tps
1
Together AI
0.41 s
2
Boundless
0.68 s
3
Parasail
0.91 s
4
Wafer
0.95 s
5
Baseten
1.11 s
6
Particle.AI
1.27 s
7
Modal
1.37 s
8
Fireworks
1.39 s
9
DeepInfra
1.43 s
10
DeepSeek
1.64 s
11
GMICloud
1.86 s
12
Runware
1.86 s
13
Relace
2.06 s
14
Morph
2.75 s
15
Alibaba Cloud
4.16 s
16
Novita AI
4.60 s
## Getting started
Call DeepSeek V4.1 Flash through AI Gateway with the AI SDK `generateText` and `streamText` functions, or through the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs by changing the base URL. AI Gateway authenticates the request and routes it to an available provider.
Install the AI SDK (`pnpm add ai dotenv`), create an API key from the [API Keys page](/content/d?to=%2F%5Bteam%5D%2F%7E%2Fai-gateway%2Fapi-keys&title=AI+Gateway+API+Keys/index.html), and set it as`AI_GATEWAY_API_KEY`in your environment. Full setup is covered in the [text generation quickstart](/content/docs/ai-gateway/getting-started/text/index.html).
index.ts
```ts
1import { generateText } from 'ai';
2import 'dotenv/config';
3
4async function main() {
5 const result = await generateText({
6 model: 'deepseek/deepseek-v4.1-flash',
7 prompt: 'Why is the sky blue?',
8 });
9
10 console.log(result.text);
11}
12
13main().catch(console.error);
```
## Top-level parameters
The same DeepSeek V4.1 Flash request in each API format AI Gateway supports.
AI SDK v7Chat CompletionsResponses APIMessages API
top-level-params.ts
```ts
1import { generateText } from 'ai';
2import 'dotenv/config';
3
4async function main() {
5 const result = await generateText({
6 model: 'deepseek/deepseek-v4.1-flash',
7 system: 'You are a concise technical assistant.',
8 prompt: 'Summarize the tradeoffs between static generation and SSR.',
9 maxOutputTokens: 1024,
10 });
11
12 console.log(result.text);
13}
14
15main().catch(console.error);
```
Standard parameters like `prompt`, `messages`, `temperature`, and `tools` work as documented in the AI SDK docs. These are the parameters with model-specific behavior.
| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `model` | `string` | Yes | Model ID in the form `creator/model`, e.g. `deepseek/deepseek-v4.1-flash`. AI Gateway routes the request to an available provider. |
| `maxOutputTokens` | `number` | No | Hard cap on generated tokens. DeepSeek V4.1 Flash supports up to `1,048,576` output tokens. Reasoning tokens count toward this limit. |
| `reasoning` | `'provider-default' | 'none' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh'` | No | Provider-agnostic reasoning effort, available in AI SDK 7 or later. Maps to the provider’s native reasoning configuration; reasoning settings under `providerOptions` take precedence when both are set. See the Reasoning section below. |
| `providerOptions` | `Record` | No | AI Gateway routing options under `gateway`, plus any provider-native options under the provider’s own namespace — see the table below. |
## Input limits
| Input | Formats | Sources | Max count | Max size | Limits |
| --- | --- | --- | --- | --- | --- |
| Text | — | — | — | — | Prompt and response share the 1M-token context window |
| Image | — | URL, base64, Uint8Array | — | — | Sent as image parts in messages; counts as input tokens |
## Provider options
Set AI Gateway routing options under `providerOptions.gateway`. For provider-specific options, pass them under the provider’s namespace as documented by the AI SDK.
Learn more in the [AI SDK deepseek provider docs](https://ai-sdk.dev/providers/ai-sdk-providers/deepseek).
provider-options.ts
```ts
1import { generateText } from 'ai';
2import 'dotenv/config';
3
4async function main() {
5 const result = await generateText({
6 model: 'deepseek/deepseek-v4.1-flash',
7 prompt: 'Why is the sky blue?',
8 providerOptions: {
9 gateway: {
10 only: ['deepseek', 'novita'],
11 },
12 },
13 });
14
15 console.log(result.text);
16}
17
18main().catch(console.error);
```
These AI Gateway routing options apply to every model. Provider-specific options pass through under the provider’s own namespace (for example `providerOptions.anthropic`) exactly as documented by the AI SDK.
| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `providerOptions.gateway.only` | `string[]` | No | Restrict routing to these provider slugs. Requests fail over only within the listed providers. |
| `providerOptions.gateway.order` | `string[]` | No | Preferred provider order. Listed providers are tried first; unlisted providers remain available as fallbacks. |
| `providerOptions.gateway.sort` | `'cost' | 'ttft' | 'tps'` | No | Rank candidate providers by price, time to first token, or tokens per second instead of the default routing order. |
| `providerOptions.gateway.zeroDataRetention` | `boolean` | No | Route only to providers with a zero-data-retention policy for this model. |
### Routing across providers
AI Gateway serves the same model through multiple providers and fails over automatically. `order` expresses a preference while keeping every provider eligible; `only` is a hard allowlist — if none of the listed providers are available the request fails instead of falling back.
Options under a provider's own namespace (for example `providerOptions.anthropic`) are forwarded to that provider with the request. Providers ignore option namespaces that don't apply to them, so it is safe to set provider options alongside `gateway` routing options.
## Reasoning
AI Gateway bridges reasoning across every API format. The AI SDK exposes a provider-agnostic top-level `reasoning` level (`none`, `minimal`, `low`, `medium`, `high`, or `xhigh`); the Chat Completions and Responses formats take the same effort under `reasoning.effort`; and the Anthropic Messages format uses a native `thinking` token budget. Whichever you send, the gateway maps it to the target model’s native configuration, converting between effort levels and token budgets as needed. Reasoning-related settings under `providerOptions` take full precedence over the top-level `reasoning` value and are never merged. Reasoning tokens typically count toward your output-token usage, though how they’re reported and billed varies by provider.
Learn more in the [AI Gateway reasoning guide](/content/docs/ai-gateway/models-and-providers/reasoning/index.html).
AI SDK v7Chat CompletionsResponses APIMessages API
reasoning.ts
```ts
1import { generateText } from 'ai';
2import 'dotenv/config';
3
4async function main() {
5 const result = await generateText({
6 model: 'deepseek/deepseek-v4.1-flash',
7 prompt: 'Explain the Monty Hall problem step by step.',
8 reasoning: 'high',
9 });
10
11 console.log(result.text);
12}
13
14main().catch(console.error);
```
## Image input
Send images alongside text as message parts. Images count as input tokens.
image-input.ts
```ts
1import { generateText } from 'ai';
2import 'dotenv/config';
3
4async function main() {
5 const result = await generateText({
6 model: 'deepseek/deepseek-v4.1-flash',
7 messages: [\
\
8 {\
\
9 role: 'user',\
\
10 content: [\
\
11 { type: 'text', text: 'Describe this image.' },\
\
12 { type: 'image', image: 'https://example.com/photo.jpg' },\
\
13 ],\
\
14 },\
\
15 ],
16 });
17
18 console.log(result.text);
19}
20
21main().catch(console.error);
```
## Tool calling
Expose tools the model can call. Define each tool’s inputs with a Zod schema.
tool-calling.ts
```ts
1import { generateText, tool } from 'ai';
2import { z } from 'zod';
3import 'dotenv/config';
4
5async function main() {
6 const result = await generateText({
7 model: 'deepseek/deepseek-v4.1-flash',
8 prompt: 'What is the weather in San Francisco?',
9 tools: {
10 getWeather: tool({
11 description: 'Get the current weather for a location',
12 inputSchema: z.object({ location: z.string() }),
13 execute: async ({ location }) => ({ location, temperatureC: 18 }),
14 }),
15 },
16 });
17
18 console.log(result.text);
19}
20
21main().catch(console.error);
```
All
Text
Code
All Use Cases
Columns(13)
| Model |
| --- |
| Context | Latency | Throughput | Input | Output | Cache | Web Search | Capabilities | Providers | ZDR | No Training | Free Tier | Release Date | |
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[deepseek/deepseek-v4-flash-vision-exp](/content/ai-gateway/models/deepseek-v4-flash-vision-exp/index.html) | 1M | 1.1 s | 238 tps | $0.22/M | $0.65/M | Read$0.0069/M | — | +1 |
| | | | 08/21/2026 | |
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[deepseek/deepseek-v4-pro-0813](/content/ai-gateway/models/deepseek-v4-pro-0813/index.html) | 1M | 0.4 s | 178 tps | $0.66/M | $1.98/M | Read$0.02/M | — | +1 |
+6 | | | | 08/12/2026 | |
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[deepseek/deepseek-v4-flash-0731](/content/ai-gateway/models/deepseek-v4-flash-0731/index.html) | 1M | 0.3 s | 406 tps | $0.03/M | $0.15/M | Read$0.0091/M | — | +1 |
+14 | | | | 07/31/2026 | |
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[deepseek/deepseek-v4-pro](/content/ai-gateway/models/deepseek-v4-pro/index.html) | 1M | 0.6 s | 133 tps | $0.66/M | $1.98/M | Read$0.02/M | — | |
+3 | | | | 04/23/2026 | |
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[deepseek/deepseek-v4-flash](/content/ai-gateway/models/deepseek-v4-flash/index.html) | 1M | 0.4 s | 435 tps | $0.06/M | $0.18/M | Read$0.0091/M | — | +1 |
+5 | | | | 04/23/2026 | |
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[deepseek/deepseek-v3.2](/content/ai-gateway/models/deepseek-v3.2) | 164K | 1.0 s | 45 tps | $0.26/M | $0.38/M | Read$0.13/M | — | |
| | | | 12/01/2025 | |