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Mistral Small 3.1 24B Base vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 50.6% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 131.1K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $2.90 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Pricing Comparison
Cost per million tokens (USD)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($2.90 cheaper)
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:11.2%
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Qwen3-235B-A22B-Thinking-2507
Average Score:61.8%(+50.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Qwen3-235B-A22B-Thinking-2507
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Mistral Small 3.1 24B Base
Avg Score:11.2%
Providers:1
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Qwen3-235B-A22B-Thinking-2507
Avg Score:61.8%(+50.6%)
Providers:1