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o1-mini vs Pixtral-12B
Comprehensive side-by-side LLM comparison
o1-mini leads with 18.2% higher average benchmark score. o1-mini offers 57.3K more tokens in context window than Pixtral-12B. Pixtral-12B is $14.70 cheaper per million tokens. Pixtral-12B supports multimodal inputs. Overall, o1-mini is the stronger choice for coding tasks.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
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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.
5 days newer
o1-mini
OpenAI
2024-09-12
Pixtral-12B
Mistral AI
2024-09-17
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Pricing Comparison
Cost per million tokens (USD)
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o1-mini
Input:$3.00
Output:$12.00
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Pixtral-12B
Input:$0.15
Output:$0.15($14.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o1-mini
Average Score:88.8%(+18.2%)
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Pixtral-12B
Average Score:70.6%
Provider Availability & Performance
Available providers and their performance metrics
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o1-mini
2 providers
Azure
Throughput: 100 tok/s
Latency: 0.5ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o1-mini
Avg Score:88.8%(+18.2%)
Providers:2
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Pixtral-12B
Avg Score:70.6%
Providers:1