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Mistral Small 3.1 24B Base vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 33.5% higher average benchmark score. Mistral Small 3.1 24B Base offers 108.5K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Mistral Small 3.1 24B Base is $0.55 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Qwen3-235B-A22B-Instruct-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 Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
4 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
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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($0.55 cheaper)
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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
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-Instruct-2507
Average Score:80.3%(+33.5%)
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-Instruct-2507
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Mistral Small 3.1 24B Base
Avg Score:46.8%
Providers:1
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Qwen3-235B-A22B-Instruct-2507
Avg Score:80.3%(+33.5%)
Providers:1