Model Comparison

Claude 3.7 Sonnet vs Qwen2.5-Omni-7B

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude 3.7 Sonnet outperforms in 2 benchmarks (GPQA, MMMU), while Qwen2.5-Omni-7B is better at 0 benchmarks.

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

Fri May 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3.7 Sonnet specifies input context (200,000 tokens). Only Claude 3.7 Sonnet specifies output context (128,000 tokens).

Claude 3.7 Sonnet

Input200,000 tokens

Output128,000 tokens

Qwen2.5-Omni-7B

Input- tokens

Output- tokens

Fri May 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3.7 Sonnet and Qwen2.5-Omni-7B support multimodal inputs.

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

Claude 3.7 Sonnet

Text

Images

Audio

Video

Qwen2.5-Omni-7B

Text

Images

Audio

Video

License

Usage and distribution terms

Claude 3.7 Sonnet 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 3.7 Sonnet

Proprietary

Closed source

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while Qwen2.5-Omni-7B was released on 2025-03-27.

Qwen2.5-Omni-7B is 1 month newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.3 years ago

Qwen2.5-Omni-7B

Mar 27, 2025

1.2 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Claude 3.7 Sonnet

View details

Anthropic

Larger context window (200,000 tokens)

Higher GPQA score (84.8% vs 30.8%)

Higher MMMU score (75.0% vs 59.2%)

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Has open weights

Claude 3.7 Sonnet

Qwen2.5-Omni-7B

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	Claude 3.7 Sonnet	Qwen2.5-Omni-7B

FAQ

Common questions about Claude 3.7 Sonnet vs Qwen2.5-Omni-7B.

Which is better, Claude 3.7 Sonnet or Qwen2.5-Omni-7B?

Claude 3.7 Sonnet significantly outperforms across most benchmarks. Claude 3.7 Sonnet 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 benchmark scores, pricing, and capabilities above.

How does Claude 3.7 Sonnet compare to Qwen2.5-Omni-7B in benchmarks?

Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. Qwen2.5-Omni-7B scores DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%, ChartQA: 85.3%.

What are the context window sizes for Claude 3.7 Sonnet and Qwen2.5-Omni-7B?

Claude 3.7 Sonnet supports 200K 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 3.7 Sonnet and Qwen2.5-Omni-7B?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.7 Sonnet and Qwen2.5-Omni-7B?

Claude 3.7 Sonnet is developed by Anthropic and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.