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Devstral Medium vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 6.5% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Devstral Medium. Devstral Medium is $3.10 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
2 months newer
o4-mini
OpenAI
2025-04-16
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($3.10 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Devstral Medium
Average Score:61.6%
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o4-mini
Average Score:68.1%(+6.5%)
Performance comparison across key benchmark categories
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Devstral Medium
Coding61.6%
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o4-mini
Coding68.1%(+6.5%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
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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o4-mini
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Devstral Medium
Avg Score:61.6%
Providers:1
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o4-mini
Avg Score:68.1%(+6.5%)
Providers:1