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GPT-6.1 Sol vs Qwen3 VL 32B Thinking

GPT-6.1 Sol leads the LLM Stats Score 53.9 to 23.5.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.9 to 23.5, ranking #7 overall.

In the 1 individual benchmarks reported for both models, GPT-6.1 Sol wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 53.9 and ranks #7 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3 VL 32B Thinking

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

At a glance

The differences that matter most.

Core performance indexes
53.9
#7
23.5
#189
51.7
#8
24.6
#170
38.6
#8
12.7
#112
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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

3 shared
Index
GPT-6.1 Sol
Qwen3 VL 32B Thinking
34.9#46
25.4#115
36.2#10
16.9#95
36.0#10
19.3#81
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 47 for Qwen3 VL 32B Thinking

1 shared

GPT-6.1 Sol outperforms in 1 benchmarks (MMMU-Pro), while Qwen3 VL 32B Thinking is better at 0 benchmarks.

GPT-6.1 Sol significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

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
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and Qwen3 VL 32B Thinking 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

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol is licensed under a proprietary license, while Qwen3 VL 32B Thinking 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

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Qwen3 VL 32B Thinking was released on 2025-09-22.

GPT-6.1 Sol is 12 months newer than Qwen3 VL 32B Thinking.

GPT-6.1 Sol

Sep 29, 2026

1 weeks ago

1.0yr newer
Qwen3 VL 32B Thinking

Sep 22, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Qwen3 VL 32B Thinking'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 Qwen3 VL 32B Thinking's cutoff date.

GPT-6.1 Sol

Apr 2026

Qwen3 VL 32B Thinking

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Qwen3 VL 32B Thinking.

Which is better, GPT-6.1 Sol or Qwen3 VL 32B Thinking?

GPT-6.1 Sol leads the LLM Stats Score 53.9 to 23.5. GPT-6.1 Sol is made by OpenAI and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for GPT-6.1 Sol and Qwen3 VL 32B Thinking?

GPT-6.1 Sol supports 1.1M tokens and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (53.9 vs 23.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Qwen3 VL 32B Thinking?

GPT-6.1 Sol is developed by OpenAI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.