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Llama 3.2 3B Instruct vs Ministral 8B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 6.0% higher average benchmark score. Both models have similar pricing. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
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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.
21 days newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Ministral 8B Instruct
Mistral AI
2024-10-16
Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.17 cheaper)
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Ministral 8B Instruct
Input:$0.10
Output:$0.10
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Llama 3.2 3B Instruct
Average Score:36.3%(+6.0%)
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Ministral 8B Instruct
Average Score:30.3%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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Ministral 8B Instruct
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Llama 3.2 3B Instruct
Avg Score:36.3%(+6.0%)
Providers:1
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Ministral 8B Instruct
Avg Score:30.3%
Providers:1