GPT-6 Astra vs Qwen3 VL 32B Thinking
GPT-6 Astra leads the LLM Stats Score 60.7 to 23.5.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.7 to 23.5, ranking #1 overall.
In the 2 individual benchmarks reported for both models, GPT-6 Astra wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Astra
- overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3 VL 32B Thinking
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for GPT-6 Astra · 47 for Qwen3 VL 32B Thinking
GPT-6 Astra outperforms in 2 benchmarks (GPQA, ScreenSpot Pro), while Qwen3 VL 32B Thinking is better at 0 benchmarks.
GPT-6 Astra significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GPT-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6 Astra and Qwen3 VL 32B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Astra
Qwen3 VL 32B Thinking
License
Usage and distribution terms
GPT-6 Astra is licensed under a proprietary license, while Qwen3 VL 32B 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 Astra was released on 2026-09-04, while Qwen3 VL 32B Thinking was released on 2025-09-22.
GPT-6 Astra is 12 months newer than Qwen3 VL 32B Thinking.
Sep 4, 2026
1 days ago
11mo newerSep 22, 2025
11 months ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Qwen3 VL 32B Thinking's cutoff date is not specified.
We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.
Apr 2026
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Qwen3 VL 32B Thinking.