Model Comparison

Mistral Small 3.1 24B Instruct vs Qwen2.5 7B InstructWhich is better in 2026?

Mistral Small 3.1 24B Instruct has a slight edge in benchmark performance.

Verdict: Mistral Small 3.1 24B Instruct vs Qwen2.5 7B Instruct — which is better?

Mistral Small 3.1 24B Instruct (by Mistral AI) and Qwen2.5 7B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Mistral Small 3.1 24B Instruct outperforms in 3 benchmarks (GPQA, HumanEval, MMLU-Pro), while Qwen2.5 7B Instruct is better at 2 benchmarks (MATH, MBPP). Mistral Small 3.1 24B Instruct has a slight edge in benchmark performance.

Choose Mistral Small 3.1 24B Instruct if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025

Choose Qwen2.5 7B Instruct if…

  • you want predictable pricing at $0.30/M input and $0.30/M output

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Mistral Small 3.1 24B Instruct outperforms in 3 benchmarks (GPQA, HumanEval, MMLU-Pro), while Qwen2.5 7B Instruct is better at 2 benchmarks (MATH, MBPP).

Mistral Small 3.1 24B Instruct has a slight edge in benchmark performance.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

16.4B diff

Mistral Small 3.1 24B Instruct has 16.4B more parameters than Qwen2.5 7B Instruct, making it 215.4% larger.

Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
24.0B
Mistral Small 3.1 24B Instruct
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas Qwen2.5 7B Instruct 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.

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

Qwen2.5 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small 3.1 24B Instruct was released on 2025-03-17, while Qwen2.5 7B Instruct was released on 2024-09-19.

Mistral Small 3.1 24B Instruct is 6 months newer than Qwen2.5 7B Instruct.

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.3 years ago

5mo newer
Qwen2.5 7B Instruct

Sep 19, 2024

1.8 years 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

Key Takeaways

Supports multimodal inputs
Higher GPQA score (46.0% vs 36.4%)
Higher HumanEval score (88.4% vs 84.8%)
Higher MMLU-Pro score (66.8% vs 56.3%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher MATH score (75.5% vs 69.3%)
Higher MBPP score (79.2% vs 74.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Small 3.1 24B Instruct and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.

Mistral Small 3.1 24B Instruct
✓ Preferred
Qwen2.5 7B Instruct
Open in Playground

FAQ

Common questions about Mistral Small 3.1 24B Instruct vs Qwen2.5 7B Instruct.

Which is better, Mistral Small 3.1 24B Instruct or Qwen2.5 7B Instruct?

Mistral Small 3.1 24B Instruct has a slight edge in benchmark performance. Mistral Small 3.1 24B Instruct is made by Mistral AI and Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Small 3.1 24B Instruct compare to Qwen2.5 7B Instruct in benchmarks?

Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for Mistral Small 3.1 24B Instruct and Qwen2.5 7B Instruct?

Mistral Small 3.1 24B Instruct supports an unknown number of tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Small 3.1 24B Instruct and Qwen2.5 7B Instruct?

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

Who makes Mistral Small 3.1 24B Instruct and Qwen2.5 7B Instruct?

Mistral Small 3.1 24B Instruct is developed by Mistral AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.