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Llama 3.2 11B Instruct vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.2 11B Instruct offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Llama 3.2 11B Instruct is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
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Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
8 days newer
Pixtral-12B
Mistral AI
2024-09-17
Llama 3.2 11B Instruct
Meta
2024-09-25
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($0.20 cheaper)
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Pixtral-12B
Input:$0.15
Output:$0.15
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Llama 3.2 11B Instruct
Average Score:66.5%
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Pixtral-12B
Average Score:66.7%(+0.2%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 11B Instruct
6 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 108 tok/s
Latency: 0.5ms
Fireworks
Throughput: 125 tok/s
Latency: 0.2ms
Groq
Throughput: 100 tok/s
Latency: 0.5ms
Sambanova
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Llama 3.2 11B Instruct
Avg Score:66.5%
Providers:6
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Pixtral-12B
Avg Score:66.7%(+0.2%)
Providers:1