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o4-mini vs Pixtral-12B
Comprehensive side-by-side LLM comparison
o4-mini leads with 27.7% higher average benchmark score. o4-mini offers 163.8K more tokens in context window than Pixtral-12B. Pixtral-12B is $5.20 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 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
7 months newer
Pixtral-12B
Mistral AI
2024-09-17
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
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Pixtral-12B
Input:$0.15
Output:$0.15($5.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o4-mini
Average Score:82.9%(+27.7%)
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Pixtral-12B
Average Score:55.3%
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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-12B
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o4-mini
Avg Score:82.9%(+27.7%)
Providers:1
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Pixtral-12B
Avg Score:55.3%
Providers:1