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Mistral Small 3.1 24B Base vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 33.2% higher average benchmark score. Mistral Small 3.1 24B Base offers 124.9K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. Mistral Small 3.1 24B Base is $1.25 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Thinking 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-Next 80B Thinking was created as a reasoning-enhanced variant, designed to incorporate extended analytical capabilities into the Qwen3-Next architecture. Built to handle complex problem-solving with mixture-of-experts efficiency, it serves applications requiring both deep reasoning and computational practicality.
5 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
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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($1.25 cheaper)
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Qwen3-Next-80B-A3B-Thinking
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-Next-80B-A3B-Thinking
Average Score:80.0%(+33.2%)
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-Next-80B-A3B-Thinking
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Mistral Small 3.1 24B Base
Avg Score:46.8%
Providers:1
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Qwen3-Next-80B-A3B-Thinking
Avg Score:80.0%(+33.2%)
Providers:1