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Devstral Medium vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Devstral Medium offers 116.7K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $1.80 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Devstral Medium was created as a development-focused model, designed to assist with software engineering workflows and developer-centric tasks. Built to provide balanced capability for coding, debugging, and technical documentation, it serves as a versatile tool for professional development environments.
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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.
9 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Devstral Medium
Mistral AI
2025-07-10
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Pricing Comparison
Cost per million tokens (USD)
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Devstral Medium
Input:$0.40
Output:$2.00
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($1.80 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Qwen2.5 7B Instruct
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Devstral Medium
Avg Score:0.0%
Providers:1
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Qwen2.5 7B Instruct
Avg Score:0.0%
Providers:1