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Mistral Small vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 offers 321.5K more tokens in context window than Mistral Small. Mistral Small is $2.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small was created as an efficient model offering, designed to provide capable language understanding with reduced computational requirements. Built to serve cost-sensitive applications while maintaining quality, it enables Mistral's technology in scenarios where resource efficiency is valued.
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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.
10 months newer
Mistral Small
Mistral AI
2024-09-17
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
Input:$0.20
Output:$0.60($2.50 cheaper)
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Qwen3-235B-A22B-Thinking-2507
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Mistral Small
Avg Score:0.0%
Providers:1
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Qwen3-235B-A22B-Thinking-2507
Avg Score:0.0%
Providers:1