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Mistral NeMo Instruct vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 38.4% higher average benchmark score. Both models have similar pricing. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. 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 NeMo Instruct
Mistral AI
2024-07-18
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Pricing Comparison
Cost per million tokens (USD)
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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Mistral NeMo Instruct
Average Score:15.1%
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Phi-3.5-mini-instruct
Average Score:53.5%(+38.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Mistral NeMo Instruct
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Mistral NeMo Instruct
Avg Score:15.1%
Providers:2
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Phi-3.5-mini-instruct
Avg Score:53.5%(+38.4%)
Providers:1