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Mistral Large 2 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 41.9% higher average benchmark score. Phi-3.5-mini-instruct is $7.80 cheaper per million tokens. Overall, Phi-3.5-mini-instruct 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-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. 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.
1 month newer
Mistral Large 2
Mistral AI
2024-07-24
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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-3.5-mini-instruct
Input:$0.10
Output:$0.10($7.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 33 common benchmarks
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Mistral Large 2
Average Score:13.3%
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Phi-3.5-mini-instruct
Average Score:55.2%(+41.9%)
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:13.3%
Providers:2
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Phi-3.5-mini-instruct
Avg Score:55.2%(+41.9%)
Providers:1