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DeepSeek-V4.1-Flash vs Mistral Large 3 (675B Instruct 2512 Eagle)

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.5 to 8.7.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.5 to 8.7, ranking #13 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.5 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Core performance indexes
LLM Stats Score
51.5
#13
8.7
#279
Reasoning
48.6
#19
8.9
#272
Coding
43.8
#5
1.2
#237
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash
Mistral Large 3 (675B Instruct 2512 Eagle)
Math
35.2#43
18.7#178
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 5 for Mistral Large 3 (675B Instruct 2512 Eagle)

1 shared

DeepSeek-V4.1-Flash outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512 Eagle) is better at 0 benchmarks.

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

88.2B diff

DeepSeek-V4.1-Flash has 88.2B more parameters than Mistral Large 3 (675B Instruct 2512 Eagle), making it 13.1% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
763.2B
DeepSeek-V4.1-Flash
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and Mistral Large 3 (675B Instruct 2512 Eagle) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while Mistral Large 3 (675B Instruct 2512 Eagle) uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4.1-Flash

MIT

Open weights

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04.

DeepSeek-V4.1-Flash is 9 months newer than Mistral Large 3 (675B Instruct 2512 Eagle).

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

9mo newer
Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

9 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash and Mistral Large 3 (675B Instruct 2512 Eagle) side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Mistral Large 3 (675B Instruct 2512 Eagle)
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Mistral Large 3 (675B Instruct 2512 Eagle).

Which is better, DeepSeek-V4.1-Flash or Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.5 to 8.7. DeepSeek-V4.1-Flash is made by DeepSeek and Mistral Large 3 (675B Instruct 2512 Eagle) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash compare to Mistral Large 3 (675B Instruct 2512 Eagle) in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. Mistral Large 3 (675B Instruct 2512 Eagle) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for DeepSeek-V4.1-Flash and Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-V4.1-Flash supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 Eagle) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash and Mistral Large 3 (675B Instruct 2512 Eagle)?

Key differences include LLM Stats Score (51.5 vs 8.7), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-V4.1-Flash is developed by DeepSeek and Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI.

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