Model Comparison
Qwen3.6-27B vs GPT-5.5Which is better in 2026?
GPT-5.5 significantly outperforms across most benchmarks. Qwen3.6-27B is 8.3x cheaper per token.
Verdict: Qwen3.6-27B vs GPT-5.5 — which is better?
Qwen3.6-27B (by Alibaba Cloud / Qwen Team) and GPT-5.5 (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Qwen3.6-27B outperforms in 1 benchmarks (GDPval-AA), while GPT-5.5 is better at 5 benchmarks (GPQA, Humanity's Last Exam, MMMU-Pro, SWE-Bench Pro, Terminal-Bench 2.0). GPT-5.5 significantly outperforms across most benchmarks.
On price, Qwen3.6-27B is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.5 also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.6-27B if…
- cost matters — it's about 8.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-5.5 if…
- you want the strongest raw capability — it leads on 5 of 6 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Apr 2026
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.6-27B outperforms in 1 benchmarks (GDPval-AA), while GPT-5.5 is better at 5 benchmarks (GPQA, Humanity's Last Exam, MMMU-Pro, SWE-Bench Pro, Terminal-Bench 2.0).
GPT-5.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.6-27B ($0.60/1M tokens) is 8.3x cheaper than GPT-5.5 ($5.00/1M tokens).
For output processing, Qwen3.6-27B ($3.60/1M tokens) is 8.3x cheaper than GPT-5.5 ($30.00/1M tokens).
In conclusion, GPT-5.5 is more expensive than Qwen3.6-27B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.5 accepts 1,050,000 input tokens compared to Qwen3.6-27B's 262,144 tokens. GPT-5.5 can generate longer responses up to 128,000 tokens, while Qwen3.6-27B is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Qwen3.6-27B and GPT-5.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.6-27B
GPT-5.5
License
Usage and distribution terms
Qwen3.6-27B is licensed under Apache 2.0, while GPT-5.5 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.6-27B was released on 2026-04-21, while GPT-5.5 was released on 2026-04-23.
GPT-5.5 is 0 month newer than Qwen3.6-27B.
Apr 21, 2026
2 months ago
Apr 23, 2026
2 months ago
2d newerKnowledge Cutoff
When training data ends
GPT-5.5 has a documented knowledge cutoff of 2025-12-01, while Qwen3.6-27B's cutoff date is not specified.
We can confirm GPT-5.5's training data extends to 2025-12-01, but cannot make a direct comparison without Qwen3.6-27B's cutoff date.
—
Dec 2025
Provider Availability
Qwen3.6-27B is available from Novita. GPT-5.5 is available from OpenAI.
Qwen3.6-27B
GPT-5.5
Outputs Comparison
Key Takeaways
Qwen3.6-27B
View detailsAlibaba Cloud / Qwen Team
GPT-5.5
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.6-27B and GPT-5.5 side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about Qwen3.6-27B vs GPT-5.5.