DeepSeek-V4.1-Flash vs DeepSeek-V4-Pro-0813: Specs & Benchmark Comparison

DeepSeek-V4.1-Flash and DeepSeek-V4-Pro-0813 both come from DeepSeek, DeepSeek-V4-Pro-0813 was released in August 2026, and DeepSeek-V4.1-Flash followed a month later in September 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 552 billion for DeepSeek-V4.1-Flash.

The two models share 6 published benchmarks. DeepSeek-V4.1-Flash leads on 6 of them. The widest gaps are on AutomationBench, where DeepSeek-V4.1-Flash scores 54.8% against 31.8%; Agents' Last Exam, where DeepSeek-V4.1-Flash scores 31.8% against 25.7%. Averaged across everything we track, DeepSeek-V4.1-Flash sits at 60.9% and DeepSeek-V4-Pro-0813 at 60.6%.

DeepSeek-V4.1-Flash is the cheaper API at $0.30 per million input tokens and $1.20 per million output tokens, roughly 4 times cheaper than DeepSeek-V4-Pro-0813 at $1.32 and $3.96. Both accept a context window of about 1M tokens. DeepSeek-V4.1-Flash accepts text and images as input, while DeepSeek-V4-Pro-0813 accepts text.

CharacteristicDeepSeek-V4.1-FlashDeepSeek-V4-Pro-0813
CompanyDeepSeekDeepSeek
Release DateSeptember 10, 2026August 13, 2026
Parameters552B1.6T
MultimodalYesNo
Context (input)1.0M1.0M
Context (output)393K393K
Input Price / 1M$0.30$1.32
Output Price / 1M$1.20$3.96
Average Score60.9%60.6%
Benchmarks
AutomationBench54.8%31.8%
Agents' Last Exam31.8%25.7%
CyberGym88.1%83.0%
Humanity's Last Exam (with tools, text-only)63.9%60.0%
Terminal-Bench 2.190.6%88.0%
NL2Repo64.0%61.5%

Visual Benchmark Comparison

DeepSeek-V4.1-Flash
DeepSeek-V4-Pro-0813
AutomationBench0.5 vs 0.3
0.5
0.3
Agents' Last Exam0.3 vs 0.3
0.3
0.3
CyberGym0.9 vs 0.8
0.9
0.8
Humanity's Last Exam (with tools, text-only)0.6 vs 0.6
0.6
0.6
Terminal-Bench 2.10.9 vs 0.9
0.9
0.9
NL2Repo0.6 vs 0.6
0.6
0.6

Verdict

DeepSeek-V4.1-Flash leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4.1-Flash — 0.6, DeepSeek-V4-Pro-0813 — 0.6.

API Cost

DeepSeek-V4.1-Flash is 3.5x cheaper: input $0.30/1M vs $1.32/1M tokens.

Context Window

DeepSeek-V4.1-Flash supports a larger context: 1M vs 1M tokens.

Recency

DeepSeek-V4.1-Flash is newer: released 9/10/2026 vs 8/13/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4.1-Flash or DeepSeek-V4-Pro-0813?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4.1-Flash or DeepSeek-V4-Pro-0813?
DeepSeek-V4.1-Flash is cheaper for input: $0.30 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4.1-Flash or DeepSeek-V4-Pro-0813?
DeepSeek-V4.1-Flash supports a larger context: 1,048,576 tokens vs 1,000,000.

The DeepSeek-V4.1-Flash and DeepSeek-V4-Pro-0813 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4.1-Flash or DeepSeek-V4-Pro-0813 page. See also the complete list of AI model comparisons.