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Pixtral Large vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 offers 131.1K more tokens in context window than Pixtral Large. Qwen3-235B-A22B-Thinking-2507 is $4.70 cheaper per million tokens. Pixtral Large supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Pixtral Large was developed as a larger-scale multimodal model, designed to provide advanced vision-language understanding capabilities. Built to handle complex tasks requiring sophisticated analysis of visual and textual information, it represents Mistral's flagship offering for multimodal applications.
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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.
8 months newer
Pixtral Large
Mistral AI
2024-11-18
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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Pixtral Large
Input:$2.00
Output:$6.00
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00($4.70 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Pixtral Large
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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Pixtral Large
Avg Score:0.0%
Providers:1
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Qwen3-235B-A22B-Thinking-2507
Avg Score:0.0%
Providers:1