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GPT-6.1 Sol vs Qwen2-VL-72B-Instruct

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 14.3.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to 14.3, 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 — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen2-VL-72B-Instruct

  • 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-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
52.0
#11
14.3
#245
Reasoning
42.2
#50
11.6
#260
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-VL-72B-Instruct
Vision
31.6#26
10.5#126
Multimodal
30.7#30
11.6#116
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for GPT-6.1 Sol · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

GPT-6.1 Sol 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 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-VL-72B-Instruct
Input- tokens
Output- tokens
Wed Sep 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and Qwen2-VL-72B-Instruct 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-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol 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.

GPT-6.1 Sol

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

GPT-6.1 Sol is 25 months newer than Qwen2-VL-72B-Instruct.

GPT-6.1 Sol

Sep 29, 2026

0 days ago

2.1yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a knowledge cutoff of 2026-04-30, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

GPT-6.1 Sol has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

GPT-6.1 Sol

Apr 2026

2.8 yr newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Qwen2-VL-72B-Instruct.

Which is better, GPT-6.1 Sol or Qwen2-VL-72B-Instruct?

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 14.3. GPT-6.1 Sol is made by OpenAI 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 GPT-6.1 Sol compare to Qwen2-VL-72B-Instruct 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-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 GPT-6.1 Sol and Qwen2-VL-72B-Instruct?

GPT-6.1 Sol supports 1.1M 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 GPT-6.1 Sol and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (52.0 vs 14.3), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Qwen2-VL-72B-Instruct?

GPT-6.1 Sol is developed by OpenAI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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