Claude Haiku 4.5 vs DeepSeek R1 Distill Llama 70B
Fast and efficient with near-frontier intelligence.
Distilled reasoning model based on Llama 3.3 70B using DeepSeek R1 outputs.
No captured outputs for these models yet.
Frequently Asked Questions: Claude Haiku 4.5 vs DeepSeek R1 Distill Llama 70B▼
Which is better, Claude Haiku 4.5 or DeepSeek R1 Distill Llama 70B?
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Based on the Capability Index, Claude Haiku 4.5 scores higher (75.3 vs 70.2). 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 DeepSeek R1 Distill Llama 70B?
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DeepSeek R1 Distill Llama 70B has a lower blended cost. Claude Haiku 4.5: $1.00 input / $5.00 output. DeepSeek R1 Distill Llama 70B: $0.80 input / $0.80 output.
Which has a larger context window, Claude Haiku 4.5 or DeepSeek R1 Distill Llama 70B?
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Claude Haiku 4.5 has a larger context window: Claude Haiku 4.5 supports 200K tokens vs DeepSeek R1 Distill Llama 70B at 8K tokens.
Do both Claude Haiku 4.5 and DeepSeek R1 Distill Llama 70B support vision?
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Claude Haiku 4.5 supports vision/image input, but DeepSeek R1 Distill Llama 70B does not.
What are the key differences between Claude Haiku 4.5 and DeepSeek R1 Distill Llama 70B?
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Key differences: Claude Haiku 4.5 has a notably higher capability index (5.1 point gap); only Claude Haiku 4.5 supports vision input. 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 DeepSeek R1 Distill Llama 70B for free on idapt.app to see which performs better for your specific needs.