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Llama 3.1 405B Instruct vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 3.7% higher average benchmark score. Llama 3.2 90B Instruct is $1.03 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Both models have their strengths depending on your specific coding needs.
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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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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.
2 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
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 3.1 405B Instruct
Input:$0.89
Output:$0.89
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($1.03 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.1 405B Instruct
Average Score:70.6%(+3.7%)
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Llama 3.2 90B Instruct
Average Score:66.9%
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:70.6%(+3.7%)
Providers:8
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Llama 3.2 90B Instruct
Avg Score:66.9%
Providers:5