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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 36.0% 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 represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
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Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
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
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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 2 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:46.8%
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Qwen3-235B-A22B-Thinking-2507
Average Score:82.8%(+36.0%)
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:46.8%
Providers:1
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Qwen3-235B-A22B-Thinking-2507
Avg Score:82.8%(+36.0%)
Providers:1