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o1-mini vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large leads with 10.2% higher average benchmark score. 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. Overall, Pixtral Large is the stronger choice for coding tasks.
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OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
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Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
2 months newer
o1-mini
OpenAI
2024-09-12
Pixtral Large
Mistral AI
2024-11-18
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
Average performance across 13 common benchmarks
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o1-mini
Average Score:33.2%
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Pixtral Large
Average Score:43.3%(+10.2%)
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:33.2%
Providers:2
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Pixtral Large
Avg Score:43.3%(+10.2%)
Providers:1