The AI arena is free today

Open Superagent

Claude Haiku 4.5 vs Qwen2-VL-72B-Instruct

Claude Haiku 4.5 leads the LLM Stats Score 25.7 to 14.3.

Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Claude Haiku 4.5 leads the overall LLM Stats Score 25.7 to 14.3, ranking #162 overall.

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 #162 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2025

Choose Qwen2-VL-72B-Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Haiku 4.5
Anthropic
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
25.7
#162
14.3
#243
Reasoning
25.3
#158
11.6
#258
Cost, coverage & limits
Benchmark wins
—
—
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

2 shared
Index
Claude Haiku 4.5
Qwen2-VL-72B-Instruct
Vision
8.6#140
10.5#124
Multimodal
10.0#120
11.6#114
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Claude Haiku 4.5 · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Claude Haiku 4.5 and Qwen2-VL-72B-Instructdon'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

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
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 4.5 and Qwen2-VL-72B-Instruct 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

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 4.5 is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Claude Haiku 4.5

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Claude Haiku 4.5 is 14 months newer than Qwen2-VL-72B-Instruct.

Claude Haiku 4.5

Oct 15, 2025

11 months ago

1.1yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a knowledge cutoff of 2025-02-01, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Claude Haiku 4.5 has more recent training data (up to 2025-02-01), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Claude Haiku 4.5

Feb 2025

1.7 yr newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Claude Haiku 4.5 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Claude Haiku 4.5
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Claude Haiku 4.5 vs Qwen2-VL-72B-Instruct.

Which is better, Claude Haiku 4.5 or Qwen2-VL-72B-Instruct?

Claude Haiku 4.5 leads the LLM Stats Score 25.7 to 14.3. Claude Haiku 4.5 is made by Anthropic and Qwen2-VL-72B-Instruct 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 Qwen2-VL-72B-Instruct 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%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Claude Haiku 4.5 and Qwen2-VL-72B-Instruct?

Claude Haiku 4.5 supports 200K tokens and Qwen2-VL-72B-Instruct 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 Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (25.7 vs 14.3), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 4.5 and Qwen2-VL-72B-Instruct?

Claude Haiku 4.5 is developed by Anthropic and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons