Model Comparison
GPT-4o vs Qwen3 VL 30B A3B ThinkingWhich is better in 2026?
Qwen3 VL 30B A3B Thinking shows notably better performance in the majority of benchmarks. Qwen3 VL 30B A3B Thinking is 11.0x cheaper per token.
Verdict: GPT-4o vs Qwen3 VL 30B A3B Thinking — which is better?
GPT-4o (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-4o outperforms in 1 benchmarks (MMLU), while Qwen3 VL 30B A3B Thinking is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen3 VL 30B A3B Thinking shows notably better performance in the majority of benchmarks.
On price, Qwen3 VL 30B A3B Thinking is roughly 11.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 30B A3B Thinking also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4o if…
- you want predictable pricing at $2.50/M input and $10.00/M output
Choose Qwen3 VL 30B A3B Thinking if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- cost matters — it's about 11.0x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 1 benchmarks (MMLU), while Qwen3 VL 30B A3B Thinking is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3 VL 30B A3B Thinking shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 12.5x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 10.1x more expensive than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).
In conclusion, GPT-4o 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
Qwen3 VL 30B A3B Thinking accepts 131,072 input tokens compared to GPT-4o's 128,000 tokens. Qwen3 VL 30B A3B Thinking can generate longer responses up to 32,768 tokens, while GPT-4o is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-4o and Qwen3 VL 30B A3B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Qwen3 VL 30B A3B Thinking
License
Usage and distribution terms
GPT-4o 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-4o was released on 2024-05-13, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.
Qwen3 VL 30B A3B Thinking is 17 months newer than GPT-4o.
May 13, 2024
2.1 years ago
Sep 22, 2025
8 months ago
1.4yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.
GPT-4o
Qwen3 VL 30B A3B Thinking
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
Qwen3 VL 30B A3B Thinking
View detailsAlibaba Cloud / Qwen Team
GPT-4o
Qwen3 VL 30B A3B ThinkingDetailed Comparison
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FAQ
Common questions about GPT-4o vs Qwen3 VL 30B A3B Thinking.