Claude Haiku 4.5 vs Llama 3.3 70B
Fast and efficient with near-frontier intelligence.
Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.
No captured outputs for these models yet.
Frequently Asked Questions: Claude Haiku 4.5 vs Llama 3.3 70B▼
Which is better, Claude Haiku 4.5 or Llama 3.3 70B?
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Based on the Capability Index, Claude Haiku 4.5 scores higher (75.3 vs 61.4). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Claude Haiku 4.5 or Llama 3.3 70B?
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Llama 3.3 70B has a lower blended cost. Claude Haiku 4.5: $1.00 input / $5.00 output. Llama 3.3 70B: $0.10 input / $0.32 output.
Which has a larger context window, Claude Haiku 4.5 or Llama 3.3 70B?
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Claude Haiku 4.5 has a larger context window: Claude Haiku 4.5 supports 200K tokens vs Llama 3.3 70B at 131K tokens.
Do both Claude Haiku 4.5 and Llama 3.3 70B support vision?
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Claude Haiku 4.5 supports vision/image input, but Llama 3.3 70B does not.
What are the key differences between Claude Haiku 4.5 and Llama 3.3 70B?
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Key differences: Claude Haiku 4.5 has a notably higher capability index (13.9 point gap); Llama 3.3 70B is significantly cheaper; only Claude Haiku 4.5 supports vision input; only Claude Haiku 4.5 offers extended reasoning mode. Compare full specs on this page.
Which model should I choose for my use case?
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If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Claude Haiku 4.5 and Llama 3.3 70B for free on idapt.app to see which performs better for your specific needs.