Claude Opus 4.8 vs Llama 3.3 70B
Anthropic's most capable Opus yet, built for long-horizon autonomous agents and frontier coding.
Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.
No captured outputs for these models yet.
Frequently Asked Questions: Claude Opus 4.8 vs Llama 3.3 70B▼
Which is better, Claude Opus 4.8 or Llama 3.3 70B?
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Based on the Capability Index, Claude Opus 4.8 scores higher (89.2 vs 61.4). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Claude Opus 4.8 or Llama 3.3 70B?
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Llama 3.3 70B has a lower blended cost. Claude Opus 4.8: $5.00 input / $25.00 output. Llama 3.3 70B: $0.10 input / $0.32 output.
Which has a larger context window, Claude Opus 4.8 or Llama 3.3 70B?
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Claude Opus 4.8 has a larger context window: Claude Opus 4.8 supports 1M tokens vs Llama 3.3 70B at 131K tokens.
Do both Claude Opus 4.8 and Llama 3.3 70B support vision?
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Claude Opus 4.8 supports vision/image input, but Llama 3.3 70B does not.
What are the key differences between Claude Opus 4.8 and Llama 3.3 70B?
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Key differences: Claude Opus 4.8 has a notably higher capability index (27.8 point gap); Llama 3.3 70B is significantly cheaper; only Claude Opus 4.8 supports vision input; only Claude Opus 4.8 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 Opus 4.8 and Llama 3.3 70B for free on idapt.app to see which performs better for your specific needs.