Model Comparison
Mistral Small 3 24B Base vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
Verdict: Mistral Small 3 24B Base vs Qwen3-235B-A22B-Instruct-2507 — which is better?
Mistral Small 3 24B Base (by Mistral AI) and Qwen3-235B-A22B-Instruct-2507 (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 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
Choose Mistral Small 3 24B Base if…
- you are already invested in the Mistral AI ecosystem
Choose Qwen3-235B-A22B-Instruct-2507 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Jul 2025
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Small 3 24B Base outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3-235B-A22B-Instruct-2507 has 211.4B more parameters than Mistral Small 3 24B Base, making it 895.8% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Mistral Small 3 24B Base supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 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
Qwen3-235B-A22B-Instruct-2507
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral Small 3 24B Base was released on 2025-01-30, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.
Qwen3-235B-A22B-Instruct-2507 is 6 months newer than Mistral Small 3 24B Base.
Jan 30, 2025
1.4 years ago
Jul 22, 2025
11 months ago
5mo newerKnowledge Cutoff
When training data ends
Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.
Oct 2023
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Outputs Comparison
Key Takeaways
Mistral Small 3 24B Base
View detailsMistral AI
Qwen3-235B-A22B-Instruct-2507
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral Small 3 24B Base and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Mistral Small 3 24B Base vs Qwen3-235B-A22B-Instruct-2507.