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o1-mini vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large offers 62.5K more tokens in context window than o1-mini. Pixtral Large is $7.00 cheaper per million tokens. Pixtral Large supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 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.
2 months newer
o1-mini
OpenAI
2024-09-12
Pixtral Large
Mistral AI
2024-11-18
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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 Large
Input:$2.00
Output:$6.00($7.00 cheaper)
Performance Metrics
Context window and performance specifications
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:0.0%
Providers:2
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Pixtral Large
Avg Score:0.0%
Providers:1