Model Comparison
GPT-5.6 Sol vs Qwen3 VL 30B A3B ThinkingWhich is better in 2026?
GPT-5.6 Sol significantly outperforms across most benchmarks. Qwen3 VL 30B A3B Thinking is 28.3x cheaper per token.
Verdict: GPT-5.6 Sol vs Qwen3 VL 30B A3B Thinking — which is better?
GPT-5.6 Sol (by OpenAI) and Qwen3 VL 30B A3B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5.6 Sol outperforms in 2 benchmarks (GPQA, MMMU-Pro), while Qwen3 VL 30B A3B Thinking is better at 0 benchmarks. GPT-5.6 Sol significantly outperforms across most benchmarks.
On price, Qwen3 VL 30B A3B Thinking is roughly 28.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.6 Sol if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Qwen3 VL 30B A3B Thinking if…
- cost matters — it's about 28.3x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.6 Sol outperforms in 2 benchmarks (GPQA, MMMU-Pro), while Qwen3 VL 30B A3B Thinking is better at 0 benchmarks.
GPT-5.6 Sol significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 25.0x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 30.3x more expensive than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than Qwen3 VL 30B A3B Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Sol accepts 1,050,000 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. GPT-5.6 Sol can generate longer responses up to 128,000 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-5.6 Sol and Qwen3 VL 30B A3B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Sol
Qwen3 VL 30B A3B Thinking
License
Usage and distribution terms
GPT-5.6 Sol is licensed under a proprietary license, while Qwen3 VL 30B A3B 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-5.6 Sol was released on 2026-07-09, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.
GPT-5.6 Sol is 10 months newer than Qwen3 VL 30B A3B Thinking.
Jul 9, 2026
1 weeks ago
9mo newerSep 22, 2025
10 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Qwen3 VL 30B A3B Thinking's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Qwen3 VL 30B A3B Thinking's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.
GPT-5.6 Sol
Qwen3 VL 30B A3B Thinking
Outputs Comparison
Key Takeaways
GPT-5.6 Sol
View detailsOpenAI
Qwen3 VL 30B A3B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.6 Sol vs Qwen3 VL 30B A3B Thinking.