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Claude 3 Haiku vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 14.2% higher average benchmark score. Claude 3 Haiku offers 144.0K more tokens in context window than Llama 3.1 405B Instruct. Both models have similar pricing. Claude 3 Haiku 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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Anthropic
Claude 3 Haiku was created as the fastest and most affordable model in its intelligence class, processing 21K tokens per second for prompts under 32K tokens. Built for enterprise workloads requiring quick analysis of large datasets, it combines state-of-the-art vision capabilities with strong performance on industry benchmarks while prioritizing speed, affordability, and enterprise-grade security.
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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.
4 months newer
Claude 3 Haiku
Anthropic
2024-03-13
Llama 3.1 405B Instruct
Meta
2024-07-23
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Pricing Comparison
Cost per million tokens (USD)
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Claude 3 Haiku
Input:$0.25
Output:$1.25($0.28 cheaper)
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Claude 3 Haiku
Average Score:68.5%
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Llama 3.1 405B Instruct
Average Score:82.8%(+14.2%)
Provider Availability & Performance
Available providers and their performance metrics
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Claude 3 Haiku
3 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 104 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3 Haiku
Avg Score:68.5%
Providers:3
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Llama 3.1 405B Instruct
Avg Score:82.8%(+14.2%)
Providers:8