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GPT-6 Rosalind vs Qwen3 Max

Comparing GPT-6 Rosalind and Qwen3 Max across benchmarks, pricing, and capabilities.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Rosalind and Qwen3 Max trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Qwen3 Max is roughly 18.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose GPT-6 Rosalind

  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3 Max

  • cost matters — it's about 18.5x cheaper per token

At a glance

The differences that matter most.

Benchmark wins
—
—
Input price
$15.00 / M
$0.50 / M
Output price
$75.00 / M
$5.00 / M
Context window
—
256,000

Individual benchmarks

0 reported for GPT-6 Rosalind · 6 for Qwen3 Max

No common benchmarks found

GPT-6 Rosalind and Qwen3 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 Max costs less

For input processing, GPT-6 Rosalind ($15.00/1M tokens) is 30.0x more expensive than Qwen3 Max ($0.50/1M tokens).

For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 15.0x more expensive than Qwen3 Max ($5.00/1M tokens).

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

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

Lowest available price from all providers
Wed Nov 04 2026 • llm-stats.com
OpenAI
GPT-6 Rosalind
Input tokens$15.00
Output tokens$75.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 Max
Input tokens$0.50
Output tokens$5.00
Best providerNovita
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Only Qwen3 Max specifies input context (256,000 tokens). Only Qwen3 Max specifies output context (131,072 tokens).

OpenAI
GPT-6 Rosalind
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Rosalind supports multimodal inputs, whereas Qwen3 Max does not.

GPT-6 Rosalind can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Rosalind

Text
Images
Audio
Video

Qwen3 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-6 Rosalind

Proprietary

Closed source

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Rosalind was released on 2026-10-30, while Qwen3 Max was released on 2025-12-15.

GPT-6 Rosalind is 11 months newer than Qwen3 Max.

GPT-6 Rosalind

Oct 30, 2026

5 days ago

10mo newer
Qwen3 Max

Dec 15, 2025

10 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 Rosalind is available from OpenAI. Qwen3 Max is available from Novita, DeepInfra.

GPT-6 Rosalind

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M

Qwen3 Max

novita logo
Novita
Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.20/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

GPT-6 Rosalind
✓ Preferred
Qwen3 Max
Open in Playground

FAQ

Common questions about GPT-6 Rosalind vs Qwen3 Max.

Which is better, GPT-6 Rosalind or Qwen3 Max?

GPT-6 Rosalind (OpenAI) and Qwen3 Max (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-6 Rosalind compare to Qwen3 Max in benchmarks?

Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

Is GPT-6 Rosalind cheaper than Qwen3 Max?

Qwen3 Max is 30.0x cheaper for input tokens. GPT-6 Rosalind costs $15.00/M input and $75.00/M output via openai. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.

What are the context window sizes for GPT-6 Rosalind and Qwen3 Max?

GPT-6 Rosalind supports an unknown number of tokens and Qwen3 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 Rosalind and Qwen3 Max?

Key differences include input pricing ($15.00 vs $0.50/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Rosalind and Qwen3 Max?

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