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GPT-6 Cyber vs Qwen3.6-27B

GPT-6 Cyber leads the LLM Stats Score 41.0 to 34.7. Qwen3.6-27B is 38.5x cheaper per token.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Cyber leads the overall LLM Stats Score 41.0 to 34.7, ranking #79 overall.

On price, Qwen3.6-27B is roughly 38.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Cyber also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GPT-6 Cyber

  • overall performance matters — it scores 41.0 and ranks #79 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Nov 2026

Choose Qwen3.6-27B

  • cost matters — it's about 38.5x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
41.0
#79
34.7
#118
33.5
#46
24.8
#94
31.2
#47
15.3
#115
Cost, coverage & limits
Benchmark wins
—
—
Input price
$20.00 / M
$0.32 / M
Output price
$100.00 / M
$3.20 / M
Context window
1,050,000
262,144

Individual benchmarks

1 reported for GPT-6 Cyber · 44 for Qwen3.6-27B

No common benchmarks found

GPT-6 Cyber and Qwen3.6-27Bdon'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

Pricing Analysis

Price comparison per million tokens

Qwen3.6-27B costs less

For input processing, GPT-6 Cyber ($20.00/1M tokens) is 62.5x more expensive than Qwen3.6-27B ($0.32/1M tokens).

For output processing, GPT-6 Cyber ($100.00/1M tokens) is 31.3x more expensive than Qwen3.6-27B ($3.20/1M tokens).

In conclusion, GPT-6 Cyber is more expensive than Qwen3.6-27B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Nov 11 2026 • llm-stats.com
OpenAI
GPT-6 Cyber
Input tokens$20.00
Output tokens$100.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3.6-27B
Input tokens$0.32
Output tokens$3.20
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-6 Cyber accepts 1,050,000 input tokens compared to Qwen3.6-27B's 262,144 tokens. Qwen3.6-27B can generate longer responses up to 262,144 tokens, while GPT-6 Cyber is limited to 128,000 tokens.

OpenAI
GPT-6 Cyber
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.6-27B
Input262,144 tokens
Output262,144 tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Cyber and Qwen3.6-27B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6 Cyber

Text
Images
Audio
Video

Qwen3.6-27B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Cyber is licensed under a proprietary license, while Qwen3.6-27B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6 Cyber

Proprietary

Closed source

Qwen3.6-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Cyber was released on 2026-11-05, while Qwen3.6-27B was released on 2026-04-21.

GPT-6 Cyber is 7 months newer than Qwen3.6-27B.

GPT-6 Cyber

Nov 5, 2026

4 days ago

6mo newer
Qwen3.6-27B

Apr 21, 2026

6 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-6 Cyber is available from OpenAI. Qwen3.6-27B is available from DeepInfra, Novita.

GPT-6 Cyber

openai logo
OpenAI
Input Price:Input: $20.00/1MOutput Price:Output: $100.00/1M

Qwen3.6-27B

deepinfra logo
Deepinfra
Input Price:Input: $0.32/1MOutput Price:Output: $3.20/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Cyber and Qwen3.6-27B side-by-side, then vote on the output you prefer.

GPT-6 Cyber
✓ Preferred
Qwen3.6-27B
Open in Playground

FAQ

Common questions about GPT-6 Cyber vs Qwen3.6-27B.

Which is better, GPT-6 Cyber or Qwen3.6-27B?

GPT-6 Cyber leads the LLM Stats Score 41.0 to 34.7. GPT-6 Cyber is made by OpenAI and Qwen3.6-27B 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-6 Cyber compare to Qwen3.6-27B in benchmarks?

GPT-6 Cyber scores ExploitGym: 48.5%. Qwen3.6-27B scores CountBench: 97.8%, VLMsAreBlind: 97.0%, V*: 94.7%, AIME 2026: 94.1%, HMMT 2025: 93.8%.

Is GPT-6 Cyber cheaper than Qwen3.6-27B?

Qwen3.6-27B is 62.5x cheaper for input tokens. GPT-6 Cyber costs $20.00/M input and $100.00/M output via openai. Qwen3.6-27B costs $0.32/M input and $3.20/M output via deepinfra.

What are the context window sizes for GPT-6 Cyber and Qwen3.6-27B?

GPT-6 Cyber supports 1.1M tokens and Qwen3.6-27B supports 262K 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 Cyber and Qwen3.6-27B?

Key differences include LLM Stats Score (41.0 vs 34.7), context window (1.1M vs 262K), input pricing ($20.00 vs $0.32/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Cyber and Qwen3.6-27B?

GPT-6 Cyber is developed by OpenAI and Qwen3.6-27B is developed by Alibaba Cloud / Qwen Team.