Model Comparison

GPT-5.6 Sol vs Qwen2.5-Omni-7BWhich is better in 2026?

GPT-5.6 Sol significantly outperforms across most benchmarks.

Verdict: GPT-5.6 Sol vs Qwen2.5-Omni-7B — which is better?

GPT-5.6 Sol (by OpenAI) and Qwen2.5-Omni-7B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-5.6 Sol outperforms in 2 benchmarks (GPQA, MMMU-Pro), while Qwen2.5-Omni-7B is better at 0 benchmarks. GPT-5.6 Sol significantly outperforms across most benchmarks.

Choose GPT-5.6 Sol if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Choose Qwen2.5-Omni-7B if…

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

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5.6 Sol outperforms in 2 benchmarks (GPQA, MMMU-Pro), while Qwen2.5-Omni-7B is better at 0 benchmarks.

GPT-5.6 Sol significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.6 Sol and Qwen2.5-Omni-7B support multimodal inputs.

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

GPT-5.6 Sol

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Sol 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.

GPT-5.6 Sol

Proprietary

Closed source

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while Qwen2.5-Omni-7B was released on 2025-03-27.

GPT-5.6 Sol is 16 months newer than Qwen2.5-Omni-7B.

GPT-5.6 Sol

Jul 9, 2026

1 weeks ago

1.3yr newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Qwen2.5-Omni-7B's cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.

GPT-5.6 Sol

Feb 2026

Qwen2.5-Omni-7B

Outputs Comparison

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Key Takeaways

Larger context window (1,050,000 tokens)
Higher GPQA score (94.6% vs 30.8%)
Higher MMMU-Pro score (83.0% vs 36.6%)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Sol
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B

FAQ

Common questions about GPT-5.6 Sol vs Qwen2.5-Omni-7B.

Which is better, GPT-5.6 Sol or Qwen2.5-Omni-7B?

GPT-5.6 Sol significantly outperforms across most benchmarks. GPT-5.6 Sol is made by OpenAI 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 GPT-5.6 Sol compare to Qwen2.5-Omni-7B in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. 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 GPT-5.6 Sol and Qwen2.5-Omni-7B?

GPT-5.6 Sol supports 1.1M 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 GPT-5.6 Sol 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 GPT-5.6 Sol and Qwen2.5-Omni-7B?

GPT-5.6 Sol is developed by OpenAI and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.