DeepSeek V4.1 Flash API, Pricing & Playground | Vercel AI Gateway

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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 & Privacy Policies.

View API reference

Input / output priceInput and output price

50% off

Prices from: Input $0.07, Output $0.30, Per 1M tokens

From$0.07 / $0.30per 1M

24h uptime100%

Get API key Read the docs

APIAPIClaude CodeClaude CodeCodexCodexHermesHermesOpenCodeOpenCodeOpenClawOpenClawfxfx

AI SDK

AI SDKChat CompletionsMessagesResponses

AI SDKAI SDKChat CompletionsChat CompletionsMessagesMessagesResponsesResponses

TypeScriptTypeScriptPythonPython

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

Overview Playground Providers Uptime Status Throughput Latency API Similar

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash

Explain quantum computing in simple termsWrite a haiku about the oceanWhat are the tradeoffs of TypeScript vs JavaScript?

Checking availability for your team

Columns(15)

Provider
Context Max Output Weight Format Latency Throughput Input Output Cache Web Search Capabilities ZDR No Training Regional Inference Free Tier Release Date

DeepSeek
Legal: Terms• Privacy		 1M 384K — 1.5 s 247 tps $0.15/M+1 more $0.60/M+1 more Read$0.003/M — +2 09/08/2026

Novita AI
Legal: Terms• Privacy		 1M 393K fp8 1.4 s 266 tps $0.30/M $1.20/M Read$0.006/M — +1 09/08/2026

DeepInfra
30% off
Legal: Terms• Privacy		 1M 1M fp8 1.4 s 73 tps $0.14/M $0.42/M Read$0.0042/M — +2 09/08/2026

Morph
50% off
Legal: Terms• Privacy		 1M 1M — 3.7 s 62 tps $0.08/M $0.30/M Read$0.0015/M — +1 09/08/2026

Fireworks
Legal: Terms• Privacy		 1M 1M — 1.2 s 102 tps $0.22/M+1 more $0.66/M+1 more Read$0.007/M — +2 US 09/08/2026

GMICloud
25% off
Legal: Terms• Privacy		 1M 1M fp8 1.8 s 230 tps $0.23/M $0.90/M Read$0.0045/M — +1 09/08/2026

Parasail
Legal: Terms• Privacy		 1M 1M — 0.6 s 264 tps $0.30/M $1.20/M Read$0.006/M — +2 09/08/2026

Baseten
Legal: Terms• Privacy		 1M 33K fp8 0.9 s 149 tps $0.30/M $1.20/M Read$0.007/M — +2 US 09/08/2026

Wafer
Legal: Terms• Privacy		 1M 1M — 1.1 s 46 tps $0.20/M $0.60/M Read$0.06/M — +2 09/08/2026

Modal
Legal: Terms• Privacy		 1M 1M — 0.6 s 91 tps $0.30/M $1.20/M Read$0.03/M — +2 09/08/2026

Particle.AI
Legal: Terms• Privacy		 1M 1M — 1.3 s 309 tps $0.25/M $1/M Read$0.03/M — +2 09/08/2026

Together AI
Legal: Terms• Privacy		 1M 1M fp8 0.4 s 236 tps $0.30/M $1.20/M Read$0.006/M — +2 09/08/2026

Alibaba Cloud
Legal: Terms• Privacy		 1M 384K — 4.5 s 126 tps $0.15/M+1 more $0.60/M+1 more Read$0.02/M — +2 09/08/2026

Relace
Legal: Terms• Privacy		 1M 1M — 1.6 s 54 tps $0.10/M $0.50/M Read$0.01/M — +1 09/08/2026

Boundless
Legal: Terms• Privacy		 1M 384K — 0.3 s 201 tps $0.20/M $1/M Read$0.01/M — +2 09/08/2026

Runware
Legal: Terms• Privacy		 1M 1M — 2.4 s 105 tps $0.15/M $0.60/M Read$0.01/M — +2 09/08/2026

1

AI Gateway 100.00%

2

Modal 100.00%

3

Alibaba Cloud 100.00%

4

Wafer 99.99%

5

Runware 99.99%

6

Fireworks 99.99%

7

Novita AI 99.99%

8

Particle.AI 99.99%

9

Relace 99.99%

10

DeepInfra 99.99%

11

DeepSeek 99.98%

12

Baseten 99.94%

13

Morph 99.91%

14

Together AI 99.87%

15

GMICloud 99.66%

16

Boundless 99.61%

17

Parasail 99.28%

AI Gateway

100.00%

Good, Sep 24, 10:15 PM

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Alibaba Cloud

100.00%

Good, Sep 24, 10:15 PM

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Good, Sep 25, 10:00 PM

Baseten

99.94%

Good, Sep 24, 10:15 PM

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Boundless

99.61%

Good, Sep 24, 10:15 PM

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Degraded, 93.75%, Sep 25, 4:30 AM

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Degraded, 94.12%, Sep 25, 9:30 AM

Good, Sep 25, 9:45 AM

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Good, Sep 25, 10:30 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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Good, Sep 25, 12:45 PM

Degraded, 86.21%, Sep 25, 1:00 PM

Good, Sep 25, 1:15 PM

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Good, Sep 25, 9:00 PM

Good, Sep 25, 9:15 PM

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Good, Sep 25, 10:00 PM

DeepInfra

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

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Good, Sep 25, 10:00 AM

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Good, Sep 25, 12:00 PM

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Good, Sep 25, 9:00 PM

Good, Sep 25, 9:15 PM

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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

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Good, Sep 25, 4:00 AM

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Good, Sep 25, 5:00 AM

Good, Sep 25, 5:15 AM

Good, Sep 25, 5:30 AM

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Good, Sep 25, 6:00 AM

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Good, Sep 25, 7:00 AM

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Good, Sep 25, 7:30 AM

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Good, Sep 25, 8:00 AM

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Good, Sep 25, 9:00 AM

Good, Sep 25, 9:15 AM

Good, Sep 25, 9:30 AM

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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

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Good, Sep 25, 7:30 PM

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Good, Sep 25, 8:00 PM

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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

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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

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Good, Sep 25, 8:30 AM

Good, Sep 25, 8:45 AM

Good, Sep 25, 9:00 AM

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Good, Sep 25, 9:45 AM

Good, Sep 25, 10:00 AM

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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

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Good, Sep 25, 6:30 PM

Good, Sep 25, 6:45 PM

Good, Sep 25, 7:00 PM

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Good, Sep 25, 8:00 PM

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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

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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

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Good, Sep 25, 5:30 PM

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Good, Sep 25, 6:00 PM

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Good, Sep 25, 7:00 PM

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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

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Good, Sep 25, 12:00 AM

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Good, Sep 25, 12:45 AM

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Good, Sep 25, 4:00 AM

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Good, Sep 25, 5:00 AM

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Good, Sep 25, 6:00 AM

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Good, Sep 25, 6:45 AM

Good, Sep 25, 7:00 AM

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Good, Sep 25, 8:00 AM

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Good, Sep 25, 9:00 AM

Good, Sep 25, 9:15 AM

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Good, Sep 25, 9:45 AM

Good, Sep 25, 10:00 AM

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Good, Sep 25, 11:00 AM

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Good, Sep 25, 11:45 AM

Good, Sep 25, 12:00 PM

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Good, Sep 25, 1:00 PM

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Good, Sep 25, 1:30 PM

Good, Sep 25, 1:45 PM

Good, Sep 25, 2:00 PM

Good, Sep 25, 2:15 PM

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Good, Sep 25, 5:00 PM

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Good, Sep 25, 6:00 PM

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Good, Sep 25, 6:45 PM

Good, Sep 25, 7:00 PM

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Good, Sep 25, 8:00 PM

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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, and set it asAI_GATEWAY_API_KEYin your environment. Full setup is covered in the text generation quickstart.

index.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

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'
providerOptions Record<string, JSONValue> 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.

provider-options.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'`
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.

AI SDK v7Chat CompletionsResponses APIMessages API

reasoning.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

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

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

deepseek/deepseek-v4-flash-vision-exp		 1M 1.1 s 238 tps $0.22/M $0.65/M Read$0.0069/M — +1
08/21/2026

deepseek/deepseek-v4-pro-0813		 1M 0.4 s 178 tps $0.66/M $1.98/M Read$0.02/M — +1


+6		 08/12/2026

deepseek/deepseek-v4-flash-0731		 1M 0.3 s 406 tps $0.03/M $0.15/M Read$0.0091/M — +1


+14		 07/31/2026

deepseek/deepseek-v4-pro		 1M 0.6 s 133 tps $0.66/M $1.98/M Read$0.02/M —


+3		 04/23/2026

deepseek/deepseek-v4-flash		 1M 0.4 s 435 tps $0.06/M $0.18/M Read$0.0091/M — +1


+5		 04/23/2026

deepseek/deepseek-v3.2		 164K 1.0 s 45 tps $0.26/M $0.38/M Read$0.13/M —

12/01/2025