DeepSeek-V4-Pro-0813 vs Mistral Large 4: Specs & Benchmark Comparison

DeepSeek-V4-Pro-0813 is developed by DeepSeek, while Mistral Large 4 comes from Mistral AI. DeepSeek-V4-Pro-0813 was released in August 2026, and Mistral Large 4 followed 2 months later in October 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 1.1 trillion for Mistral Large 4.

The two models share 2 published benchmarks. They split them evenly, 1 to 1. The widest gaps are on AutomationBench, where Mistral Large 4 scores 59.9% against 31.8%; CyberGym, where DeepSeek-V4-Pro-0813 scores 83.0% against 82.0%. Averaged across everything we track, DeepSeek-V4-Pro-0813 sits at 60.6% and Mistral Large 4 at 60.4%.

Mistral Large 4 is the cheaper API at $0.68 per million input tokens and $2.09 per million output tokens, about 94% below DeepSeek-V4-Pro-0813 at $1.32 and $3.96. Both accept a context window of about 1M tokens. DeepSeek-V4-Pro-0813 accepts text as input, while Mistral Large 4 accepts text and images.

CharacteristicDeepSeek-V4-Pro-0813Mistral Large 4
CompanyDeepSeekMistral AI
Release DateAugust 13, 2026October 6, 2026
Parameters1.6T1.1T
MultimodalNoYes
Context (input)1.0M1.0M
Context (output)393K—
Input Price / 1M$1.32$0.68
Output Price / 1M$3.96$2.09
Average Score60.6%60.4%
Benchmarks
AutomationBench31.8%59.9%
CyberGym83.0%82.0%

Visual Benchmark Comparison

DeepSeek-V4-Pro-0813
Mistral Large 4
AutomationBench0.3 vs 0.6
0.3
0.6
CyberGym0.8 vs 0.8
0.8
0.8

Verdict

Mistral Large 4 leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.6, Mistral Large 4 — 0.6.

API Cost

Mistral Large 4 is 1.9x cheaper: input $0.68/1M vs $1.32/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

Mistral Large 4 is newer: released 10/6/2026 vs 8/13/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Pro-0813 or Mistral Large 4?
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-Pro-0813 or Mistral Large 4?
Mistral Large 4 is cheaper for input: $0.68 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4-Pro-0813 or Mistral Large 4?
DeepSeek-V4-Pro-0813 supports a larger context: 1,048,576 tokens vs 1,048,576.

The DeepSeek-V4-Pro-0813 and Mistral Large 4 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-Pro-0813 or Mistral Large 4 page. See also the complete list of AI model comparisons.