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Claude Haiku 5.5 vs Qwen2.5-Omni-7B

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 5.2.

Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 5.2, ranking #19 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 50.0 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5-Omni-7B

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

At a glance

The differences that matter most.

Core performance indexes
50.0
#19
5.2
#315
47.2
#27
1.4
#328
40.2
#13
1.1
#249
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

3 shared
Index
Claude Haiku 5.5
Qwen2.5-Omni-7B
25.7#110
5.0#279
30.4#33
5.1#163
31.4#27
6.5#142
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 45 for Qwen2.5-Omni-7B

No common benchmarks found

Claude Haiku 5.5 and Qwen2.5-Omni-7Bdon'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
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 5.5 and Qwen2.5-Omni-7B 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

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 is licensed under a proprietary license, while Qwen2.5-Omni-7B uses Apache 2.0.

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

Claude Haiku 5.5

Proprietary

Closed source

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Qwen2.5-Omni-7B was released on 2025-03-27.

Claude Haiku 5.5 is 19 months newer than Qwen2.5-Omni-7B.

Claude Haiku 5.5

Oct 7, 2026

0 days ago

1.5yr newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Qwen2.5-Omni-7B's cutoff date is not specified.

We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.

Claude Haiku 5.5

Jun 2026

Qwen2.5-Omni-7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Qwen2.5-Omni-7B.

Which is better, Claude Haiku 5.5 or Qwen2.5-Omni-7B?

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 5.2. Claude Haiku 5.5 is made by Anthropic and Qwen2.5-Omni-7B 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 Qwen2.5-Omni-7B 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%. Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the context window sizes for Claude Haiku 5.5 and Qwen2.5-Omni-7B?

Claude Haiku 5.5 supports 1.0M tokens and Qwen2.5-Omni-7B 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 Qwen2.5-Omni-7B?

Key differences include LLM Stats Score (50.0 vs 5.2), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Qwen2.5-Omni-7B?

Claude Haiku 5.5 is developed by Anthropic and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.