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DeepSeek R1 Distill Qwen 32B vs Mistral Small 3.1 24B Instruct

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Instruct is better at 0 benchmarks. DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 32B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

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.

Benchmark wins
1 of 1
0 of 1
Input price
$0.12 / M
— / M
Output price
$0.18 / M
— / M
Context window
128,000
Released
Jan 2025
Mar 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

8.8B diff

DeepSeek R1 Distill Qwen 32B has 8.8B more parameters than Mistral Small 3.1 24B Instruct, making it 36.7% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
24.0B
Mistral Small 3.1 24B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B 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 R1 Distill Qwen 32B

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, 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 R1 Distill Qwen 32B

MIT

Open weights

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

Mistral Small 3.1 24B Instruct is 2 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.6 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.4 years ago

1mo 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 R1 Distill Qwen 32B and Mistral Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
Mistral Small 3.1 24B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Mistral Small 3.1 24B Instruct.

Which is better, DeepSeek R1 Distill Qwen 32B or Mistral Small 3.1 24B Instruct?

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B 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 benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 32B compare to Mistral Small 3.1 24B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. 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 R1 Distill Qwen 32B and Mistral Small 3.1 24B Instruct?

DeepSeek R1 Distill Qwen 32B supports 128K 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 R1 Distill Qwen 32B and Mistral Small 3.1 24B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Mistral Small 3.1 24B Instruct?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Mistral Small 3.1 24B Instruct is developed by Mistral AI.