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Mistral Large 2 vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 26.3% 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. Overall, Phi 4 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 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
4 months newer
Mistral Large 2
Mistral AI
2024-07-24
Phi 4
Microsoft
2024-12-12
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 16 common benchmarks
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Mistral Large 2
Average Score:27.4%
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Phi 4
Average Score:53.6%(+26.3%)
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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:27.4%
Providers:2
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Phi 4
Avg Score:53.6%(+26.3%)
Providers:1