GPT-6 Rosalind vs Qwen2.5 72B Instruct
Comparing GPT-6 Rosalind and Qwen2.5 72B Instruct across benchmarks, pricing, and capabilities.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-6 Rosalind and Qwen2.5 72B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Qwen2.5 72B Instruct is roughly 82.8x 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 Qwen2.5 72B Instruct
- cost matters — it's about 82.8x 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 · 14 for Qwen2.5 72B Instruct
GPT-6 Rosalind and Qwen2.5 72B Instructdon'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 42.9x more expensive than Qwen2.5 72B Instruct ($0.35/1M tokens).
For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 187.5x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).
In conclusion, GPT-6 Rosalind is more expensive than Qwen2.5 72B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6 Rosalind supports multimodal inputs, whereas Qwen2.5 72B Instruct 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
Qwen2.5 72B Instruct
License
Usage and distribution terms
GPT-6 Rosalind is licensed under a proprietary license, while Qwen2.5 72B Instruct uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen
Open weights
Release Timeline
When each model was launched
GPT-6 Rosalind was released on 2026-10-30, while Qwen2.5 72B Instruct was released on 2024-09-19.
GPT-6 Rosalind is 26 months newer than Qwen2.5 72B Instruct.
Oct 30, 2026
2 days ago
2.1yr newerSep 19, 2024
2.1 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. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.
GPT-6 Rosalind
Qwen2.5 72B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Rosalind and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Rosalind vs Qwen2.5 72B Instruct.