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GPT-6.1 Sol vs Qwen2.5-Omni-7B

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 5.2.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to 5.2, ranking #11 overall.

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 52.0 and ranks #11 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 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.

GPT-6.1 Sol
OpenAI
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
52.0
#11
5.2
#307
Reasoning
42.2
#50
1.4
#320
Coding
38.4
#19
1.1
#243
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-6.1 Sol
Qwen2.5-Omni-7B
Vision
31.6#26
5.2#159
Multimodal
30.7#30
6.7#138
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for GPT-6.1 Sol · 45 for Qwen2.5-Omni-7B

No common benchmarks found

GPT-6.1 Sol 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 GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and Qwen2.5-Omni-7B support multimodal inputs.

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

GPT-6.1 Sol

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 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-6.1 Sol

Proprietary

Closed source

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Qwen2.5-Omni-7B was released on 2025-03-27.

GPT-6.1 Sol is 18 months newer than Qwen2.5-Omni-7B.

GPT-6.1 Sol

Sep 29, 2026

3 days ago

1.5yr newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Qwen2.5-Omni-7B's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.

GPT-6.1 Sol

Apr 2026

Qwen2.5-Omni-7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Qwen2.5-Omni-7B.

Which is better, GPT-6.1 Sol or Qwen2.5-Omni-7B?

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 5.2. GPT-6.1 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 capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6.1 Sol compare to Qwen2.5-Omni-7B in benchmarks?

GPT-6.1 Sol scores HealthBench Consensus: 96.0%, DeepSWE 1.1: 75.2%, OSWorld 2.0: 71.4%, HealthBench Professional: 64.2%, HealthBench: 58.5%. 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-6.1 Sol and Qwen2.5-Omni-7B?

GPT-6.1 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-6.1 Sol and Qwen2.5-Omni-7B?

Key differences include LLM Stats Score (52.0 vs 5.2), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Qwen2.5-Omni-7B?

GPT-6.1 Sol is developed by OpenAI and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.

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