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Claude Haiku 4.5 vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
Claude Haiku 4.5 leads with 42.6% higher average benchmark score. Claude Haiku 4.5 offers 137.9K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $5.94 cheaper per million tokens. Claude Haiku 4.5 supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Claude Haiku 4.5 is the stronger choice for coding tasks.
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Anthropic
Claude Haiku 4.5 continues Anthropic's tradition of fast, efficient models in the fourth generation Claude family. Designed to maintain the hallmark speed and cost-effectiveness of the Haiku line while incorporating advancements from the Claude 4 series, it serves applications requiring rapid processing and quick turnaround times.
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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
1 year newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Claude Haiku 4.5
Anthropic
2025-10-15
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Pricing Comparison
Cost per million tokens (USD)
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Claude Haiku 4.5
Input:$1.00
Output:$5.00
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($5.94 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Claude Haiku 4.5
Average Score:73.0%(+42.6%)
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Llama 3.1 8B Instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
Claude Haiku 4.5
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Claude Haiku 4.5
1 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.3ms
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Llama 3.1 8B Instruct
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Claude Haiku 4.5
Avg Score:73.0%(+42.6%)
Providers:1
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Llama 3.1 8B Instruct
Avg Score:30.4%
Providers:9