GPT-6 Rosalind vs Qwen3 VL 4B Thinking
Comparing GPT-6 Rosalind and Qwen3 VL 4B Thinking across benchmarks, pricing, and capabilities.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-6 Rosalind and Qwen3 VL 4B Thinking trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Qwen3 VL 4B Thinking is roughly 92.3x 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 VL 4B Thinking
- cost matters — it's about 92.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
0 reported for GPT-6 Rosalind · 48 for Qwen3 VL 4B Thinking
GPT-6 Rosalind and Qwen3 VL 4B Thinkingdon'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
For input processing, GPT-6 Rosalind ($15.00/1M tokens) is 150.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).
For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 75.0x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).
In conclusion, GPT-6 Rosalind is more expensive than Qwen3 VL 4B Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Only Qwen3 VL 4B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 4B Thinking specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6 Rosalind and Qwen3 VL 4B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Rosalind
Qwen3 VL 4B Thinking
License
Usage and distribution terms
GPT-6 Rosalind is licensed under a proprietary license, while Qwen3 VL 4B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-6 Rosalind was released on 2026-10-30, while Qwen3 VL 4B Thinking was released on 2025-09-22.
GPT-6 Rosalind is 13 months newer than Qwen3 VL 4B Thinking.
Oct 30, 2026
5 days ago
1.1yr newerSep 22, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-6 Rosalind is available from OpenAI. Qwen3 VL 4B Thinking is available from DeepInfra.
GPT-6 Rosalind
Qwen3 VL 4B Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Rosalind and Qwen3 VL 4B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Rosalind vs Qwen3 VL 4B Thinking.