Claude 3.5 Haiku vs DeepSeek-R1
Comparing Claude 3.5 Haiku and DeepSeek-R1 across benchmarks, pricing, and capabilities.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude 3.5 Haiku and DeepSeek-R1 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-R1 is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.5 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3.5 Haiku
- you process long inputs — it offers a 200,000 token context window
Choose DeepSeek-R1
- cost matters — it's about 1.7x cheaper per token
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
9 reported for Claude 3.5 Haiku · 0 for DeepSeek-R1
Claude 3.5 Haiku and DeepSeek-R1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 1.5x more expensive than DeepSeek-R1 ($0.55/1M tokens).
For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 1.8x more expensive than DeepSeek-R1 ($2.19/1M tokens).
In conclusion, Claude 3.5 Haiku is more expensive than DeepSeek-R1.*
* Using a 3:1 ratio of input to output tokens
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.
License
Usage and distribution terms
Claude 3.5 Haiku is licensed under a proprietary license, while DeepSeek-R1 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude 3.5 Haiku was released on 2024-10-22, while DeepSeek-R1 was released on 2025-01-20.
DeepSeek-R1 is 3 months newer than Claude 3.5 Haiku.
Oct 22, 2024
1.8 years ago
Jan 20, 2025
1.6 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks.
Claude 3.5 Haiku
DeepSeek-R1
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.5 Haiku and DeepSeek-R1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Haiku vs DeepSeek-R1.