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Devstral Medium vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
Devstral Medium offers 235.5K more tokens in context window than GPT-3.5 Turbo. Both models have similar pricing. 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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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
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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GPT-3.5 Turbo
Input:$0.50
Output:$1.50($0.40 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
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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GPT-3.5 Turbo
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Devstral Medium
Avg Score:0.0%
Providers:1
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GPT-3.5 Turbo
Avg Score:0.0%
Providers:2