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Mistral Large 2 vs Phi 4
Comprehensive side-by-side LLM comparison
Mistral Large 2 leads with 4.3% higher average benchmark score. Mistral Large 2 offers 224.0K more tokens in context window than Phi 4. Phi 4 is $7.79 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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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
4 months newer
Mistral Large 2
Mistral AI
2024-07-24
Phi 4
Microsoft
2024-12-12
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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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Phi 4
Input:$0.07
Output:$0.14($7.79 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Mistral Large 2
Average Score:88.0%(+4.3%)
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Phi 4
Average Score:83.7%
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Knowledge Cutoff
Training data recency comparison
Phi 4
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:88.0%(+4.3%)
Providers:2
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Phi 4
Avg Score:83.7%
Providers:1