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Mistral Large 2 vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 2.9% higher average benchmark score. o3-mini offers 44.0K more tokens in context window than Mistral Large 2. o3-mini is $2.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Large 2 was introduced as the second generation of Mistral's flagship model, designed to provide frontier-level capabilities across diverse language tasks. Built with enhanced reasoning, coding, and multilingual abilities, it represents Mistral's most advanced offering for enterprise and demanding applications.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
6 months newer
Mistral Large 2
Mistral AI
2024-07-24
o3-mini
OpenAI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Large 2
Input:$2.00
Output:$6.00
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o3-mini
Input:$1.10
Output:$4.40($2.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Mistral Large 2
Average Score:84.0%
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o3-mini
Average Score:86.9%(+2.9%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Large 2
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Mistral Large 2
Avg Score:84.0%
Providers:2
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o3-mini
Avg Score:86.9%(+2.9%)
Providers:2