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Mistral Large 2 vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 33.6% higher average benchmark score. Mistral Large 2 is available on 2 providers. Overall, Phi 4 Mini 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 is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
6 months newer
Mistral Large 2
Mistral AI
2024-07-24
Phi 4 Mini
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Mistral Large 2
Average Score:21.9%
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Phi 4 Mini
Average Score:55.5%(+33.6%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
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:21.9%
Providers:2
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Phi 4 Mini
Avg Score:55.5%(+33.6%)
Providers:0