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DeepSeek-V3 vs Mistral Small 3.1 24B Instruct

DeepSeek-V3 leads the LLM Stats Score 15.7 to 4.3.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V3 leads the overall LLM Stats Score 15.7 to 4.3, ranking #217 overall.

In the 4 individual benchmarks reported for both models, DeepSeek-V3 wins 4; 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

  • overall performance matters — it scores 15.7 and ranks #217 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

Choose Mistral Small 3.1 24B Instruct

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

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Mistral Small 3.1 24B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
15.7
#217
4.3
#292
Reasoning
14.8
#218
4.4
#285
Coding
6.5
#185
9.8
#164
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$0.27 / M
— / M
Output price
$1.10 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V3
Mistral Small 3.1 24B Instruct
Math
18.2#175
8.2#254
Finance
20.1#79
7.6#152
Legal
20.1#63
7.6#135
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 9 for Mistral Small 3.1 24B Instruct

4 shared

DeepSeek-V3 outperforms in 4 benchmarks (GPQA, MMLU, MMLU-Pro, SimpleQA), while Mistral Small 3.1 24B Instruct is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

647.0B diff

DeepSeek-V3 has 647.0B more parameters than Mistral Small 3.1 24B Instruct, making it 2695.8% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
671.0B
DeepSeek-V3
24.0B
Mistral Small 3.1 24B Instruct

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 Small 3.1 24B Instruct
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas DeepSeek-V3 does not.

Mistral Small 3.1 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Mistral Small 3.1 24B Instruct 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 Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

Mistral Small 3.1 24B Instruct is 3 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.7 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.5 years ago

2mo 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Mistral Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Mistral Small 3.1 24B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Mistral Small 3.1 24B Instruct.

Which is better, DeepSeek-V3 or Mistral Small 3.1 24B Instruct?

DeepSeek-V3 leads the LLM Stats Score 15.7 to 4.3. DeepSeek-V3 is made by DeepSeek and Mistral Small 3.1 24B Instruct 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 Small 3.1 24B Instruct in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for DeepSeek-V3 and Mistral Small 3.1 24B Instruct?

DeepSeek-V3 supports 131K tokens and Mistral Small 3.1 24B Instruct 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 Small 3.1 24B Instruct?

Key differences include LLM Stats Score (15.7 vs 4.3), 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 Small 3.1 24B Instruct?

DeepSeek-V3 is developed by DeepSeek and Mistral Small 3.1 24B Instruct is developed by Mistral AI.

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