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

DeepSeek-V3 and Mistral Large 3 (675B Instruct 2512) are closely matched at 15.6 and 9.0 on the LLM Stats Score. DeepSeek-V3 is 1.8x cheaper per token.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V3 and Mistral Large 3 (675B Instruct 2512) are closely matched on the overall LLM Stats Score at 15.6 and 9.0.

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.

On price, DeepSeek-V3 is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 3 (675B Instruct 2512) also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.

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
  • cost matters — it's about 1.8x cheaper per token

Choose Mistral Large 3 (675B Instruct 2512)

  • you process long inputs — it offers a 262,100 token context window
  • 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)
Mistral AI
Core performance indexes
LLM Stats Score
15.6
#236
9.0
#279
Reasoning
14.8
#235
9.2
#273
Coding
6.2
#200
1.5
#239
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.27 / M
$0.50 / M
Output price
$0.89 / M
$1.50 / M
Context window
131,072
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3
Mistral Large 3 (675B Instruct 2512)
Math
18.0#190
18.9#175
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

3 shared

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

DeepSeek-V3 significantly outperforms across most benchmarks.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.9x cheaper than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).

For output processing, DeepSeek-V3 ($0.89/1M tokens) is 1.7x cheaper than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).

In conclusion, Mistral Large 3 (675B Instruct 2512) is more expensive than DeepSeek-V3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$0.89
Best providerDeepSeek
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

4.0B diff

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

Context Window

Maximum input and output token capacity

Mistral Large 3 (675B Instruct 2512) accepts 262,100 input tokens compared to DeepSeek-V3's 131,072 tokens. Mistral Large 3 (675B Instruct 2512) can generate longer responses up to 262,100 tokens, while DeepSeek-V3 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Mistral Large 3 (675B Instruct 2512) 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)

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) 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)

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) was released on 2025-12-04.

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

DeepSeek-V3

Dec 25, 2024

1.8 years ago

Mistral Large 3 (675B Instruct 2512)

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

Provider Availability

DeepSeek-V3 is available from DeepSeek, DeepInfra. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.32/1MOutput Price:Output: $0.89/1M

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

DeepSeek-V3 and Mistral Large 3 (675B Instruct 2512) are closely matched on the LLM Stats Score at 15.6 and 9.0. DeepSeek-V3 is made by DeepSeek and Mistral Large 3 (675B Instruct 2512) 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) 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) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

Is DeepSeek-V3 cheaper than Mistral Large 3 (675B Instruct 2512)?

DeepSeek-V3 is 1.9x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $0.89/M output via deepseek. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral.

What are the context window sizes for DeepSeek-V3 and Mistral Large 3 (675B Instruct 2512)?

DeepSeek-V3 supports 131K tokens and Mistral Large 3 (675B Instruct 2512) supports 262K 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)?

Key differences include LLM Stats Score (15.6 vs 9.0), context window (131K vs 262K), input pricing ($0.27 vs $0.50/M), 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)?

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

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