The AI arena is free today

Open Superagent

GPT-5.6 Sol vs Qwen3.8-27B

GPT-5.6 Sol leads the LLM Stats Score 57.2 to 46.1.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5.6 Sol leads the overall LLM Stats Score 57.2 to 46.1, ranking #1 overall.

In the 5 individual benchmarks reported for both models, GPT-5.6 Sol wins 5; 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-5.6 Sol

  • overall performance matters — it scores 57.2 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results

Choose Qwen3.8-27B

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
57.2
#1
46.1
#24
56.6
#2
45.6
#24
50.6
#1
34.5
#29
44.3
#1
32.9
#24
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$5.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-5.6 Sol
Qwen3.8-27B
36.5#35
31.5#59
38.2#5
34.1#15
34.3#3
25.0#30
38.3#3
37.7#4
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

44 reported for GPT-5.6 Sol · 26 for Qwen3.8-27B

5 shared

GPT-5.6 Sol outperforms in 5 benchmarks (Agents' Last Exam, DeepSWE 1.1, GPQA, SWE-Bench Pro, Terminal-Bench 2.1), while Qwen3.8-27B is better at 0 benchmarks.

GPT-5.6 Sol significantly outperforms across most benchmarks.

Fri Aug 28 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-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
Qwen3.8-27B
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.6 Sol and Qwen3.8-27B 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

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Sol is licensed under a proprietary license, while Qwen3.8-27B 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

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 1 month newer than GPT-5.6 Sol.

GPT-5.6 Sol

Jul 9, 2026

1 months ago

Qwen3.8-27B

Aug 14, 2026

2 weeks ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Qwen3.8-27B'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 Qwen3.8-27B's cutoff date.

GPT-5.6 Sol

Feb 2026

Qwen3.8-27B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and Qwen3.8-27B side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about GPT-5.6 Sol vs Qwen3.8-27B.

Which is better, GPT-5.6 Sol or Qwen3.8-27B?

GPT-5.6 Sol leads the LLM Stats Score 57.2 to 46.1. GPT-5.6 Sol is made by OpenAI and Qwen3.8-27B 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-5.6 Sol compare to Qwen3.8-27B 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%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for GPT-5.6 Sol and Qwen3.8-27B?

GPT-5.6 Sol supports 1.1M tokens and Qwen3.8-27B 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 Qwen3.8-27B?

Key differences include LLM Stats Score (57.2 vs 46.1), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and Qwen3.8-27B?

GPT-5.6 Sol is developed by OpenAI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.