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Claude Haiku 5.5 vs Qwen2-VL-72B-Instruct

Claude Haiku 5.5 leads the LLM Stats Score 50.3 to 14.3.

Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 50.3 to 14.3, ranking #18 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude Haiku 5.5

  • overall performance matters — it scores 50.3 and ranks #18 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

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 5.5
Anthropic
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
50.3
#18
14.3
#252
Reasoning
47.4
#26
11.6
#267
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Claude Haiku 5.5
Qwen2-VL-72B-Instruct
Vision
30.5#32
10.5#128
Multimodal
31.6#25
11.5#120
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Claude Haiku 5.5 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 5.5 specifies input context (1,000,000 tokens). Only Claude Haiku 5.5 specifies output context (128,000 tokens).

Anthropic
Claude Haiku 5.5
Input1,000,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 5.5 and Qwen2-VL-72B-Instruct support multimodal inputs.

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

Claude Haiku 5.5

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 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 5.5

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Claude Haiku 5.5 is 26 months newer than Qwen2-VL-72B-Instruct.

Claude Haiku 5.5

Oct 7, 2026

0 days ago

2.1yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a knowledge cutoff of 2026-06-01, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Claude Haiku 5.5 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Claude Haiku 5.5

Jun 2026

3 yr newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Qwen2-VL-72B-Instruct.

Which is better, Claude Haiku 5.5 or Qwen2-VL-72B-Instruct?

Claude Haiku 5.5 leads the LLM Stats Score 50.3 to 14.3. Claude Haiku 5.5 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 5.5 compare to Qwen2-VL-72B-Instruct in benchmarks?

Claude Haiku 5.5 scores Global-MMLU: 87.8%, MILU: 87.6%, BenchCAD (with Python tool): 87.0%, Chartography: 86.2%, SWE-bench Multilingual: 83.7%. 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 5.5 and Qwen2-VL-72B-Instruct?

Claude Haiku 5.5 supports 1.0M 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 5.5 and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (50.3 vs 14.3), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Qwen2-VL-72B-Instruct?

Claude Haiku 5.5 is developed by Anthropic and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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