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DeepSeek-V3 vs Mistral Large 3 (675B Instruct 2512 Eagle)

DeepSeek-V3 and Mistral Large 3 (675B Instruct 2512 Eagle) are closely matched at 15.6 and 8.7 on the LLM Stats Score.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V3 and Mistral Large 3 (675B Instruct 2512 Eagle) are closely matched on the overall LLM Stats Score at 15.6 and 8.7.

In the 3 individual benchmarks reported for both models, DeepSeek-V3 wins 3; 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-V3

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Core performance indexes
LLM Stats Score
15.6
#244
8.7
#292
Reasoning
14.7
#243
8.9
#285
Coding
6.1
#206
1.1
#248
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.27 / M
— / M
Output price
$0.89 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3
Mistral Large 3 (675B Instruct 2512 Eagle)
Math
18.0#194
18.7#184
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 5 for Mistral Large 3 (675B Instruct 2512 Eagle)

3 shared

DeepSeek-V3 outperforms in 3 benchmarks (GPQA, LiveCodeBench, SimpleQA), while Mistral Large 3 (675B Instruct 2512 Eagle) is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

4.0B diff

Mistral Large 3 (675B Instruct 2512 Eagle) has 4.0B more parameters than DeepSeek-V3, making it 0.6% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
671.0B
DeepSeek-V3
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 3 (675B Instruct 2512 Eagle) supports multimodal inputs, whereas DeepSeek-V3 does not.

Mistral Large 3 (675B Instruct 2512 Eagle) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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-V3

MIT + Model License (Commercial use allowed)

Open weights

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 Eagle) is 11 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.8 years ago

Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

10 months ago

11mo newer

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?

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Mistral Large 3 (675B Instruct 2512 Eagle) side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Mistral Large 3 (675B Instruct 2512 Eagle)
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Mistral Large 3 (675B Instruct 2512 Eagle).

Which is better, DeepSeek-V3 or Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-V3 and Mistral Large 3 (675B Instruct 2512 Eagle) are closely matched on the LLM Stats Score at 15.6 and 8.7. DeepSeek-V3 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-V3 compare to Mistral Large 3 (675B Instruct 2512 Eagle) in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. 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-V3 and Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-V3 supports 131K 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-V3 and Mistral Large 3 (675B Instruct 2512 Eagle)?

Key differences include LLM Stats Score (15.6 vs 8.7), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-V3 is developed by DeepSeek and Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI.

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