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 8 published benchmarks. DeepSeek-V4.1-Flash leads on 6 of them, DeepSeek-V4-Pro-0813 on 2. The widest gaps are on Humanity's Last Exam, where DeepSeek-V4-Pro-0813 scores 60.0% against 36.8%; AutomationBench, where DeepSeek-V4.1-Flash scores 54.8% against 31.8%. Averaged across everything we track, DeepSeek-V4.1-Flash sits at 60.2% 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 Score60.2%60.6%
Benchmarks
Humanity's Last Exam36.8%60.0%
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%
Humanity's Last Exam (no tools, text-only)39.1%42.7%
Terminal-Bench 2.190.6%88.0%
NL2Repo64.0%61.5%

Visual Benchmark Comparison

DeepSeek-V4.1-Flash
DeepSeek-V4-Pro-0813
Humanity's Last Exam0.4 vs 0.6
0.4
0.6
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
Humanity's Last Exam (no tools, text-only)0.4 vs 0.4
0.4
0.4
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 2 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

Same context size: 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 1,048,576.

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.