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DeepSeek V4 Flash 0731 vs DeepSeek V4.1 Flash

Compare DeepSeek V4 Flash 0731 from DeepSeek and DeepSeek V4.1 Flash from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

DeepSeekDeepSeek V4 Flash 0731DeepSeekDeepSeek V4.1 Flash
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DeepSeek V4 Flash 0731
DeepSeek · text → text

DeepSeek-V4-Flash-0731(deepseek-v4-flash-0731) is an open-source MoE large language model developed by the Chinese AI company DeepSeek, with support for a million-token context window. It is designed for coding, complex reasoning, tool use, agentic workflows, and long-document processing. Its advantages include strong performance with fewer active parameters and improved efficiency through DSpark speculative decoding. Compared with DeepSeek V4-Flash Preview, it offers significantly stronger coding and agent capabilities, while outperforming DeepSeek V4-Pro Preview on several benchmarks with fewer active parameters.

Input$0.142 /M
Output$0.284 /M
Cache read$0.0284 /M
Details
DeepSeek logo
DeepSeek V4.1 Flash
DeepSeek · text, image → text

DeepSeek-V4.1-Flash model official release. This is the smallest model in DeepSeek’s new model-architecture series, featuring native multimodal visual understanding capabilities. The new architecture is designed to deliver a higher capability ceiling, faster inference speeds, greater throughput, and scalability to larger-parameter models.

Input$0.1408 /M
Output$0.5632 /M
Cache read$0.0028 /M
Details

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

DeepSeek V4 Flash 0731
DeepSeek V4.1 Flash
Input /M
$0.142
$0.1408
Output /M
$0.284
$0.5632
Cache read /M
$0.0284
$0.0028
Context length
1,000,000
1,000,000
Max output
384,000
384,000
Time to First Token
0.5 s
2.4 s
Throughput
98.3 tok/s
157.6 tok/s
Modalities
text
textimage
Supported Parameters
toolsfunction callingstructured outputsthinking
toolsfunction callingstructured outputsthinking
API Formats
chat_completions · claude_api
chat_completions · claude_api
Released
July 31, 2026
September 8, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

deepseek-v4-flash-0731deepseek-v4.1-flash

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

deepseek-v4-flash-0731deepseek-v4.1-flash

Throughput (tok/s)

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TTFT (s)

-

Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

DeepSeek V4 Flash 0731
$12.78 /mo
DeepSeek V4.1 Flash
$16.90 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: DeepSeek V4 Flash 0731, DeepSeek V4.1 Flash?

DeepSeek V4 Flash 0731: $0.284/M output tokens; DeepSeek V4.1 Flash: $0.5632/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

DeepSeek V4 Flash 0731: 0.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

DeepSeek V4 Flash 0731 accepts 1,000,000 and DeepSeek V4.1 Flash accepts 1,000,000 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash 0731 and 384,000 tokens on DeepSeek V4.1 Flash.

Which one generates tokens faster?

DeepSeek V4.1 Flash at 157.6 tok/s and DeepSeek V4 Flash 0731 at 98.3 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

DeepSeek V4 Flash 0731 accepts text input and supports tool calling, function calling, structured outputs and thinking; DeepSeek V4.1 Flash accepts text and image input and supports tool calling, function calling, structured outputs and thinking.

Can I call DeepSeek V4 Flash 0731 and DeepSeek V4.1 Flash with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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