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Claude 3.5 Haiku vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.0 to 4.8.

Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.0 to 4.8, ranking #261 overall.

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

Choose Claude 3.5 Haiku

  • you want the most recent training data — it shipped Oct 2024

Choose Qwen2-VL-72B-Instruct

  • overall performance matters — it scores 14.0 and ranks #261 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude 3.5 Haiku
Anthropic
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
4.8
#323
14.0
#261
Reasoning
5.0
#319
11.3
#276
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.80 / M
— / M
Output price
$4.00 / M
— / M
Context window
200,000
—

Individual benchmarks

9 reported for Claude 3.5 Haiku · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Claude 3.5 Haiku 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 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Claude 3.5 Haiku does not.

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.5 Haiku

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.5 Haiku 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 3.5 Haiku

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Claude 3.5 Haiku is 2 months newer than Qwen2-VL-72B-Instruct.

Claude 3.5 Haiku

Oct 22, 2024

2.0 years ago

1mo newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Claude 3.5 Haiku's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Claude 3.5 Haiku's cutoff date.

Claude 3.5 Haiku

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude 3.5 Haiku and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Claude 3.5 Haiku
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Claude 3.5 Haiku vs Qwen2-VL-72B-Instruct.

Which is better, Claude 3.5 Haiku or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.0 to 4.8. Claude 3.5 Haiku 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 3.5 Haiku compare to Qwen2-VL-72B-Instruct in benchmarks?

Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. 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 3.5 Haiku and Qwen2-VL-72B-Instruct?

Claude 3.5 Haiku 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 3.5 Haiku and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (4.8 vs 14.0), multimodal support (no vs yes), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.5 Haiku and Qwen2-VL-72B-Instruct?

Claude 3.5 Haiku is developed by Anthropic and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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