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Ministral 8B Instruct vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Ministral 8B Instruct leads with 4.1% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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-vision-instruct
Microsoft
2024-08-23
Ministral 8B Instruct
Mistral AI
2024-10-16
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Ministral 8B Instruct
Average Score:34.8%(+4.1%)
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Phi-3.5-vision-instruct
Average Score:30.7%
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-vision-instruct
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Ministral 8B Instruct
Avg Score:34.8%(+4.1%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:30.7%
Providers:0