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Llama 3.2 90B Instruct vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 6.6% higher average benchmark score. Llama 3.2 90B Instruct offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
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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 90B Instruct
Meta
2024-09-25
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40
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Pixtral-12B
Input:$0.15
Output:$0.15($0.45 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Llama 3.2 90B Instruct
Average Score:75.0%(+6.6%)
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Pixtral-12B
Average Score:68.4%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 90B Instruct
5 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 24 tok/s
Latency: 0.5ms
Fireworks
Throughput: 50 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 42 tok/s
Latency: 0.5ms
Together
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Llama 3.2 90B Instruct
Avg Score:75.0%(+6.6%)
Providers:5
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Pixtral-12B
Avg Score:68.4%
Providers:1