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Llama 3.1 405B Instruct vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.3 70B Instruct is $1.38 cheaper per million tokens. 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 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
4 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Llama 3.3 70B Instruct
Meta
2024-12-06
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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 3.3 70B Instruct
Input:$0.20
Output:$0.20($1.38 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Llama 3.1 405B Instruct
Average Score:78.8%(+0.1%)
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Llama 3.3 70B Instruct
Average Score:78.6%
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:78.8%(+0.1%)
Providers:8
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Llama 3.3 70B Instruct
Avg Score:78.6%
Providers:9