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Claude Haiku 4.5 vs Qwen3 VL 32B Thinking

Claude Haiku 4.5 and Qwen3 VL 32B Thinking are closely matched at 25.6 and 23.5 on the LLM Stats Score.

Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Claude Haiku 4.5 and Qwen3 VL 32B Thinking are closely matched on the overall LLM Stats Score at 25.6 and 23.5.

In the 3 individual benchmarks reported for both models, Qwen3 VL 32B Thinking wins 2; 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

  • you want the most recent training data — it shipped Oct 2025

Choose Qwen3 VL 32B Thinking

  • you value its reported benchmark strengths — it wins 2 of 3 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
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
25.6
#171
23.5
#189
Reasoning
25.2
#168
24.7
#170
Agents
13.3
#107
12.8
#112
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
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

4 shared
Index
Claude Haiku 4.5
Qwen3 VL 32B Thinking
Math
15.6#221
25.4#114
Vision
8.6#147
16.9#97
Writing
20.3#17
16.5#38
Multimodal
9.8#128
19.3#82
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Claude Haiku 4.5 · 47 for Qwen3 VL 32B Thinking

3 shared

Claude Haiku 4.5 outperforms in 1 benchmarks (OSWorld), while Qwen3 VL 32B Thinking is better at 2 benchmarks (AIME 2025, GPQA).

Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.

Sun Oct 18 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
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Sun Oct 18 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 4.5 and Qwen3 VL 32B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude Haiku 4.5

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 4.5 is licensed under a proprietary license, while Qwen3 VL 32B Thinking uses Apache 2.0.

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

Claude Haiku 4.5

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Claude Haiku 4.5 is 1 month newer than Qwen3 VL 32B Thinking.

Claude Haiku 4.5

Oct 15, 2025

1.0 years ago

3w newer
Qwen3 VL 32B Thinking

Sep 22, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Qwen3 VL 32B Thinking'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 Qwen3 VL 32B Thinking's cutoff date.

Claude Haiku 4.5

Feb 2025

Qwen3 VL 32B Thinking

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 4.5 and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Claude Haiku 4.5
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about Claude Haiku 4.5 vs Qwen3 VL 32B Thinking.

Which is better, Claude Haiku 4.5 or Qwen3 VL 32B Thinking?

Claude Haiku 4.5 and Qwen3 VL 32B Thinking are closely matched on the LLM Stats Score at 25.6 and 23.5. Claude Haiku 4.5 is made by Anthropic and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. 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 Qwen3 VL 32B Thinking 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%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for Claude Haiku 4.5 and Qwen3 VL 32B Thinking?

Claude Haiku 4.5 supports 200K tokens and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (25.6 vs 23.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 4.5 and Qwen3 VL 32B Thinking?

Claude Haiku 4.5 is developed by Anthropic and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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