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Mistral Small 3 24B Instruct vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Instruct leads with 8.2% higher average benchmark score. Qwen2.5 7B Instruct offers 75.3K more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. Overall, Mistral Small 3 24B Instruct is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
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Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
4 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14($0.39 cheaper)
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Qwen2.5 7B Instruct
Input:$0.30
Output:
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Mistral Small 3 24B Instruct
Average Score:74.4%(+8.2%)
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Qwen2.5 7B Instruct
Average Score:66.2%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3 24B Instruct
2 providers
DeepInfra
Throughput: 49 tok/s
Latency: 0.2ms
Mistral AI
Throughput: 134 tok/s
Latency: 0.2ms
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Mistral Small 3 24B Instruct
Avg Score:74.4%(+8.2%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:66.2%
Providers:1