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Devstral Small 1.1 vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 14.5% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Devstral Small 1.1. Devstral Small 1.1 is $5.10 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 Small was developed as a more efficient development-focused model, designed to bring software engineering assistance to resource-conscious deployments. Built to provide coding capabilities with reduced computational requirements, it enables developer tools in environments where efficiency is paramount.
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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 Small 1.1
Mistral AI
2025-07-11
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Pricing Comparison
Cost per million tokens (USD)
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Devstral Small 1.1
Input:$0.10
Output:$0.30($5.10 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 Small 1.1
Average Score:53.6%
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o4-mini
Average Score:68.1%(+14.5%)
Performance comparison across key benchmark categories
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Devstral Small 1.1
Coding53.6%
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o4-mini
Coding68.1%(+14.5%)
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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 Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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o4-mini
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Devstral Small 1.1
Avg Score:53.6%
Providers:1
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o4-mini
Avg Score:68.1%(+14.5%)
Providers:1