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Ministral 8B Instruct vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 31.2% 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
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Ministral 8B Instruct
Mistral AI
2024-10-16
Pricing Comparison
Cost per million tokens (USD)
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Ministral 8B Instruct
Input:$0.10
Output:$0.10
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10
Performance Metrics
Context window and performance specifications
Average performance across 36 common benchmarks
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Ministral 8B Instruct
Average Score:19.4%
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Phi-3.5-mini-instruct
Average Score:50.6%(+31.2%)
Provider Availability & Performance
Available providers and their performance metrics
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Ministral 8B Instruct
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.18ms
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Phi-3.5-mini-instruct
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Ministral 8B Instruct
Avg Score:19.4%
Providers:1
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Phi-3.5-mini-instruct
Avg Score:50.6%(+31.2%)
Providers:1