Claude 3 Haiku vs DeepSeek R1 Zero
DeepSeek R1 Zero leads the LLM Stats Score 16.1 to -1.4.
Anthropic · DeepSeek · Updated for 2026
Which is better?
DeepSeek R1 Zero leads the overall LLM Stats Score 16.1 to -1.4, ranking #224 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Zero wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3 Haiku
- you want predictable pricing at $0.25/M input and $1.25/M output
Choose DeepSeek R1 Zero
- overall performance matters — it scores 16.1 and ranks #224 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
10 reported for Claude 3 Haiku · 4 for DeepSeek R1 Zero
Claude 3 Haiku outperforms in 0 benchmarks, while DeepSeek R1 Zero is better at 1 benchmark (GPQA).
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Claude 3 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).
Input capabilities
Documented input modalities across available providers
Claude 3 Haiku supports multimodal inputs, whereas DeepSeek R1 Zero does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
DeepSeek R1 Zero
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while DeepSeek R1 Zero 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 Haiku was released on 2024-03-13, while DeepSeek R1 Zero was released on 2025-01-20.
DeepSeek R1 Zero is 10 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Jan 20, 2025
1.6 years ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and DeepSeek R1 Zero side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs DeepSeek R1 Zero.