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o4-mini vs Pixtral Large
Comprehensive side-by-side LLM comparison
o4-mini leads with 16.2% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Pixtral Large. o4-mini is $2.50 cheaper per million tokens. Overall, o4-mini is the stronger choice for coding tasks.
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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.
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Mistral AI
Pixtral Large was developed as a larger-scale multimodal model, designed to provide advanced vision-language understanding capabilities. Built to handle complex tasks requiring sophisticated analysis of visual and textual information, it represents Mistral's flagship offering for multimodal applications.
4 months newer
Pixtral Large
Mistral AI
2024-11-18
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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o4-mini
Input:$1.10
Output:$4.40($2.50 cheaper)
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Pixtral Large
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o4-mini
Average Score:82.9%(+16.2%)
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Pixtral Large
Average Score:66.7%
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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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o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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Pixtral Large
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o4-mini
Avg Score:82.9%(+16.2%)
Providers:1
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Pixtral Large
Avg Score:66.7%
Providers:1