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GPT-6 Cyber vs Qwen3.8 Max

GPT-6 Cyber and Qwen3.8 Max are closely matched at 41.0 and 50.3 on the LLM Stats Score. Qwen3.8 Max is 16.2x cheaper per token.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Cyber and Qwen3.8 Max are closely matched on the overall LLM Stats Score at 41.0 and 50.3.

On price, Qwen3.8 Max is roughly 16.2x 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

  • 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 Qwen3.8 Max

  • cost matters — it's about 16.2x 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
#77
50.3
#19
33.5
#49
37.7
#29
31.3
#46
35.8
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
$20.00 / M
$1.65 / M
Output price
$100.00 / M
$4.95 / M
Context window
1,050,000
256,000

Individual benchmarks

1 reported for GPT-6 Cyber · 42 for Qwen3.8 Max

No common benchmarks found

GPT-6 Cyber and Qwen3.8 Maxdon'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

Qwen3.8 Max costs less

For input processing, GPT-6 Cyber ($20.00/1M tokens) is 12.1x more expensive than Qwen3.8 Max ($1.65/1M tokens).

For output processing, GPT-6 Cyber ($100.00/1M tokens) is 20.2x more expensive than Qwen3.8 Max ($4.95/1M tokens).

In conclusion, GPT-6 Cyber is more expensive than Qwen3.8 Max.*

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

Lowest available price from all providers
Sun Nov 08 2026 • llm-stats.com
OpenAI
GPT-6 Cyber
Input tokens$20.00
Output tokens$100.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input tokens$1.65
Output tokens$4.95
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 Qwen3.8 Max's 256,000 tokens. Qwen3.8 Max can generate longer responses up to 256,000 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
Qwen3.8 Max
Input256,000 tokens
Output256,000 tokens
Sun Nov 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Cyber and Qwen3.8 Max support multimodal inputs.

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

GPT-6 Cyber

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Cyber is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.

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

GPT-6 Cyber

Proprietary

Closed source

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

GPT-6 Cyber was released on 2026-11-05, while Qwen3.8 Max was released on 2026-08-02.

GPT-6 Cyber is 3 months newer than Qwen3.8 Max.

GPT-6 Cyber

Nov 5, 2026

3 days ago

3mo newer
Qwen3.8 Max

Aug 2, 2026

3 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. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.

GPT-6 Cyber

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

Qwen3.8 Max

deepinfra logo
Deepinfra
Input Price:Input: $1.65/1MOutput Price:Output: $4.95/1M
fireworks logo
Fireworks
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
novita logo
Novita
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $6.25/1M
* 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 Qwen3.8 Max side-by-side, then vote on the output you prefer.

GPT-6 Cyber
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about GPT-6 Cyber vs Qwen3.8 Max.

Which is better, GPT-6 Cyber or Qwen3.8 Max?

GPT-6 Cyber and Qwen3.8 Max are closely matched on the LLM Stats Score at 41.0 and 50.3. GPT-6 Cyber is made by OpenAI and Qwen3.8 Max 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 Qwen3.8 Max in benchmarks?

GPT-6 Cyber scores ExploitGym: 48.5%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

Is GPT-6 Cyber cheaper than Qwen3.8 Max?

Qwen3.8 Max is 12.1x cheaper for input tokens. GPT-6 Cyber costs $20.00/M input and $100.00/M output via openai. Qwen3.8 Max costs $1.65/M input and $4.95/M output via deepinfra.

What are the context window sizes for GPT-6 Cyber and Qwen3.8 Max?

GPT-6 Cyber supports 1.1M tokens and Qwen3.8 Max supports 256K 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 Qwen3.8 Max?

Key differences include LLM Stats Score (41.0 vs 50.3), context window (1.1M vs 256K), input pricing ($20.00 vs $1.65/M), licensing (Proprietary vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Cyber and Qwen3.8 Max?

GPT-6 Cyber is developed by OpenAI and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.