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GPT-6.1 Sol vs QwQ-32B

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 14.8.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to 14.8, 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 QwQ-32B

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

At a glance

The differences that matter most.

GPT-6.1 Sol
OpenAI
QwQ-32B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
52.0
#11
14.8
#240
Reasoning
42.2
#50
15.6
#231
Coding
38.4
#19
10.3
#172
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

10 reported for GPT-6.1 Sol · 7 for QwQ-32B

No common benchmarks found

GPT-6.1 Sol and QwQ-32Bdon'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
QwQ-32B
Input- tokens
Output- tokens
Thu Oct 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Sol supports multimodal inputs, whereas QwQ-32B does not.

GPT-6.1 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6.1 Sol

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol is licensed under a proprietary license, while QwQ-32B 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

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while QwQ-32B was released on 2025-03-05.

GPT-6.1 Sol is 19 months newer than QwQ-32B.

GPT-6.1 Sol

Sep 29, 2026

1 days ago

1.6yr newer
QwQ-32B

Mar 5, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a knowledge cutoff of 2026-04-30, while QwQ-32B has a cutoff of 2024-11-28.

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 QwQ-32B (2024-11-28).

GPT-6.1 Sol

Apr 2026

1.4 yr newer
QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

GPT-6.1 Sol
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs QwQ-32B.

Which is better, GPT-6.1 Sol or QwQ-32B?

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 14.8. GPT-6.1 Sol is made by OpenAI and QwQ-32B 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 QwQ-32B 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%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for GPT-6.1 Sol and QwQ-32B?

GPT-6.1 Sol supports 1.1M tokens and QwQ-32B 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 QwQ-32B?

Key differences include LLM Stats Score (52.0 vs 14.8), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and QwQ-32B?

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

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