DeepSeek-V4.1-Flash vs Mistral Large 4: Specs & Benchmark Comparison

DeepSeek-V4.1-Flash is developed by DeepSeek, while Mistral Large 4 comes from Mistral AI. DeepSeek-V4.1-Flash was released in September 2026, and Mistral Large 4 followed a month later in October 2026. Mistral Large 4 is the larger model at roughly 1.1 trillion parameters, against 552 billion for DeepSeek-V4.1-Flash.

The two models share 4 published benchmarks. DeepSeek-V4.1-Flash leads on 3 of them, Mistral Large 4 on 1. The widest gaps are on DeepSWE 1.1, where DeepSeek-V4.1-Flash scores 74.2% against 61.7%; CyberGym, where DeepSeek-V4.1-Flash scores 88.1% against 82.0%. Averaged across everything we track, DeepSeek-V4.1-Flash sits at 60.2% and Mistral Large 4 at 60.4%.

DeepSeek-V4.1-Flash is the cheaper API at $0.30 per million input tokens and $1.20 per million output tokens, roughly 2 times cheaper than Mistral Large 4 at $0.68 and $2.09. Both accept a context window of about 1M tokens. Both accept text and images as input.

CharacteristicDeepSeek-V4.1-FlashMistral Large 4
CompanyDeepSeekMistral AI
Release DateSeptember 10, 2026October 6, 2026
Parameters552B1.1T
MultimodalYesYes
Context (input)1.0M1.0M
Context (output)393K—
Input Price / 1M$0.30$0.68
Output Price / 1M$1.20$2.09
Average Score60.2%60.4%
Benchmarks
DeepSWE 1.174.2%61.7%
CyberGym88.1%82.0%
AutomationBench54.8%59.9%
Terminal-Bench 4.031.2%28.3%

Visual Benchmark Comparison

DeepSeek-V4.1-Flash
Mistral Large 4
DeepSWE 1.10.7 vs 0.6
0.7
0.6
CyberGym0.9 vs 0.8
0.9
0.8
AutomationBench0.5 vs 0.6
0.5
0.6
Terminal-Bench 4.00.3 vs 0.3
0.3
0.3

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: DeepSeek-V4.1-Flash — 0.6, Mistral Large 4 — 0.6.

API Cost

DeepSeek-V4.1-Flash is 1.8x cheaper: input $0.30/1M vs $0.68/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

Mistral Large 4 is newer: released 10/6/2026 vs 9/10/2026.

More About These Models

Related Comparisons

Frequently Asked Questions

Which is better for coding — DeepSeek-V4.1-Flash 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-V4.1-Flash or Mistral Large 4?
DeepSeek-V4.1-Flash is cheaper for input: $0.30 per 1M tokens vs $0.68.
Which has a larger context window — DeepSeek-V4.1-Flash or Mistral Large 4?
DeepSeek-V4.1-Flash supports a larger context: 1,048,576 tokens vs 1,048,576.

The DeepSeek-V4.1-Flash 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-V4.1-Flash or Mistral Large 4 page. See also the complete list of AI model comparisons.