Model Comparison

Mistral Small 3 24B Base vs Qwen2.5-Coder 32B InstructWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Mistral Small 3 24B Base vs Qwen2.5-Coder 32B Instruct — which is better?

Mistral Small 3 24B Base (by Mistral AI) and Qwen2.5-Coder 32B 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 24B Base outperforms in 3 benchmarks (ARC-C, MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 3 benchmarks (GSM8k, MATH, MBPP). Both models are evenly matched across the benchmarks.

Choose Mistral Small 3 24B Base if…

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

Choose Qwen2.5-Coder 32B Instruct if…

  • you want predictable pricing at $0.09/M input and $0.09/M output

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Mistral Small 3 24B Base outperforms in 3 benchmarks (ARC-C, MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 3 benchmarks (GSM8k, MATH, MBPP).

Both models are evenly matched across the benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

8.4B diff

Qwen2.5-Coder 32B Instruct has 8.4B more parameters than Mistral Small 3 24B Base, making it 35.6% larger.

Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
23.6B
Mistral Small 3 24B Base
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3 24B Base supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.

Mistral Small 3 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Small 3 24B Base

Text
Images
Audio
Video

Qwen2.5-Coder 32B 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 24B Base

Apache 2.0

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small 3 24B Base was released on 2025-01-30, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Mistral Small 3 24B Base is 4 months newer than Qwen2.5-Coder 32B Instruct.

Mistral Small 3 24B Base

Jan 30, 2025

1.5 years ago

4mo newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while Qwen2.5-Coder 32B Instruct's cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen2.5-Coder 32B Instruct's cutoff date.

Mistral Small 3 24B Base

Oct 2023

Qwen2.5-Coder 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Supports multimodal inputs
Higher ARC-C score (91.3% vs 70.5%)
Higher MMLU score (80.7% vs 75.1%)
Higher MMLU-Pro score (54.4% vs 50.4%)
Alibaba Cloud / Qwen Team
Larger context window (128,000 tokens)
Higher GSM8k score (91.1% vs 80.7%)
Higher MATH score (57.2% vs 46.0%)
Higher MBPP score (90.2% vs 69.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Small 3 24B Base and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.

Mistral Small 3 24B Base
✓ Preferred
Qwen2.5-Coder 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Small 3 24B Base
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Mistral Small 3 24B Base vs Qwen2.5-Coder 32B Instruct.

Which is better, Mistral Small 3 24B Base or Qwen2.5-Coder 32B Instruct?

Both models are evenly matched across the benchmarks. Mistral Small 3 24B Base is made by Mistral AI and Qwen2.5-Coder 32B 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 24B Base compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for Mistral Small 3 24B Base and Qwen2.5-Coder 32B Instruct?

Mistral Small 3 24B Base supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K 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 24B Base and Qwen2.5-Coder 32B Instruct?

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

Who makes Mistral Small 3 24B Base and Qwen2.5-Coder 32B Instruct?

Mistral Small 3 24B Base is developed by Mistral AI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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