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Claude Haiku 4.5 vs DeepSeek R1 Zero

Claude Haiku 4.5 leads the LLM Stats Score 25.7 to 16.1.

Anthropic · DeepSeek · Updated for 2026

Which is better?

Claude Haiku 4.5 leads the overall LLM Stats Score 25.7 to 16.1, ranking #147 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 Haiku 4.5

  • overall performance matters — it scores 25.7 and ranks #147 on LLM Stats
  • you want the most recent training data — it shipped Oct 2025

Choose DeepSeek R1 Zero

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Haiku 4.5
Anthropic
DeepSeek R1 Zero
DeepSeek
Core performance indexes
LLM Stats Score
25.7
#147
16.1
#214
Reasoning
25.4
#143
16.4
#205
Coding
19.8
#96
4.4
#202
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$1.00 / M
— / M
Output price
$5.00 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Haiku 4.5
DeepSeek R1 Zero
Math
15.2#208
17.7#187
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Claude Haiku 4.5 · 4 for DeepSeek R1 Zero

1 shared

Claude Haiku 4.5 outperforms in 0 benchmarks, while DeepSeek R1 Zero is better at 1 benchmark (GPQA).

DeepSeek R1 Zero significantly outperforms across most benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude Haiku 4.5 specifies input context (200,000 tokens). Only Claude Haiku 4.5 specifies output context (64,000 tokens).

Anthropic
Claude Haiku 4.5
Input200,000 tokens
Output64,000 tokens
DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 4.5 supports multimodal inputs, whereas DeepSeek R1 Zero does not.

Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 4.5

Text
Images
Audio
Video

DeepSeek R1 Zero

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 4.5 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.

Claude Haiku 4.5

Proprietary

Closed source

DeepSeek R1 Zero

MIT

Open weights

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while DeepSeek R1 Zero was released on 2025-01-20.

Claude Haiku 4.5 is 9 months newer than DeepSeek R1 Zero.

Claude Haiku 4.5

Oct 15, 2025

10 months ago

8mo newer
DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.

Claude Haiku 4.5

Feb 2025

DeepSeek R1 Zero

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Claude Haiku 4.5 and DeepSeek R1 Zero side-by-side, then vote on the output you prefer.

Claude Haiku 4.5
✓ Preferred
DeepSeek R1 Zero
Open in Playground

FAQ

Common questions about Claude Haiku 4.5 vs DeepSeek R1 Zero.

Which is better, Claude Haiku 4.5 or DeepSeek R1 Zero?

Claude Haiku 4.5 leads the LLM Stats Score 25.7 to 16.1. Claude Haiku 4.5 is made by Anthropic and DeepSeek R1 Zero is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Haiku 4.5 compare to DeepSeek R1 Zero in benchmarks?

Claude Haiku 4.5 scores Tau2 Retail: 83.2%, MMMLU: 83.0%, Tau2 Telecom: 83.0%, AIME 2025: 80.7%, SWE-Bench Verified: 73.3%. DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%.

What are the context window sizes for Claude Haiku 4.5 and DeepSeek R1 Zero?

Claude Haiku 4.5 supports 200K tokens and DeepSeek R1 Zero supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Haiku 4.5 and DeepSeek R1 Zero?

Key differences include LLM Stats Score (25.7 vs 16.1), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 4.5 and DeepSeek R1 Zero?

Claude Haiku 4.5 is developed by Anthropic and DeepSeek R1 Zero is developed by DeepSeek.

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