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Mistral Large 2 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Mistral Large 2 leads with 29.3% higher average benchmark score. Mistral Large 2 is available on 2 providers. Overall, Mistral Large 2 is the stronger choice for coding tasks.
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Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
9 months newer
Mistral Large 2
Mistral AI
2024-07-24
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Mistral Large 2
Average Score:54.8%(+29.3%)
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Phi 4 Mini Reasoning
Average Score:25.5%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
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:54.8%(+29.3%)
Providers:2
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Phi 4 Mini Reasoning
Avg Score:25.5%
Providers:0