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Llama 3.1 405B Instruct vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 22.0% higher average benchmark score. Llama 3.1 405B Instruct offers 119.8K more tokens in context window than Pixtral-12B. Pixtral-12B is $1.48 cheaper per million tokens. Pixtral-12B supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
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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.
1 month newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Pixtral-12B
Mistral AI
2024-09-17
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89
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Pixtral-12B
Input:$0.15
Output:$0.15($1.48 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.1 405B Instruct
Average Score:84.7%(+22.0%)
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Pixtral-12B
Average Score:62.7%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 405B Instruct
8 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 27 tok/s
Latency: 0.5ms
Fireworks
Throughput: 78 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
Hyperbolic
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Llama 3.1 405B Instruct
Avg Score:84.7%(+22.0%)
Providers:8
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Pixtral-12B
Avg Score:62.7%
Providers:1