DeepSeek-R1 vs Claude 3.5 Haiku Comparison

Comparing DeepSeek-R1 and Claude 3.5 Haiku across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Claude 3.5 Haiku don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-R1 costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 1.5x cheaper than Claude 3.5 Haiku ($0.80/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 1.8x cheaper than Claude 3.5 Haiku ($4.00/1M tokens).

In conclusion, Claude 3.5 Haiku is more expensive than DeepSeek-R1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Sun Mar 15 2026 • llm-stats.com

DeepSeek-R1

Input tokens$0.55

Output tokens$2.19

Best providerDeepSeek

Claude 3.5 Haiku

Input tokens$0.80

Output tokens$4.00

Best providerAWS Bedrock

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Context Window

Maximum input and output token capacity

Claude 3.5 Haiku accepts 200,000 input tokens compared to DeepSeek-R1's 131,072 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while DeepSeek-R1 is limited to 131,072 tokens.

DeepSeek-R1

Input131,072 tokens

Output131,072 tokens

Claude 3.5 Haiku

Input200,000 tokens

Output200,000 tokens

Sun Mar 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 is licensed under MIT, while Claude 3.5 Haiku uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-R1

MIT

Open weights

Claude 3.5 Haiku

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Claude 3.5 Haiku was released on 2024-10-22.

DeepSeek-R1 is 3 months newer than Claude 3.5 Haiku.

DeepSeek-R1

Jan 20, 2025

1.1 years ago

3mo newer

Claude 3.5 Haiku

Oct 22, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. The availability of providers can affect quality of the model and reliability.