Model Comparison
GPT-5 vs Qwen3 VL 4B InstructWhich is better in 2026?
GPT-5 significantly outperforms across most benchmarks. Qwen3 VL 4B Instruct is 15.3x cheaper per token.
Verdict: GPT-5 vs Qwen3 VL 4B Instruct — which is better?
GPT-5 (by OpenAI) and Qwen3 VL 4B Instruct (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 outperforms in 6 benchmarks (AIME 2025, CharXiv-R, ERQA, MMLU, MMMU-Pro, VideoMMMU), while Qwen3 VL 4B Instruct is better at 0 benchmarks. GPT-5 significantly outperforms across most benchmarks.
On price, Qwen3 VL 4B Instruct is roughly 15.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5 if…
- you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
- you process long inputs — it offers a 400,000 token context window
Choose Qwen3 VL 4B Instruct if…
- cost matters — it's about 15.3x cheaper per token
- 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-5 outperforms in 6 benchmarks (AIME 2025, CharXiv-R, ERQA, MMLU, MMMU-Pro, VideoMMMU), while Qwen3 VL 4B Instruct is better at 0 benchmarks.
GPT-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5 ($1.25/1M tokens) is 12.5x more expensive than Qwen3 VL 4B Instruct ($0.10/1M tokens).
For output processing, GPT-5 ($10.00/1M tokens) is 16.7x more expensive than Qwen3 VL 4B Instruct ($0.60/1M tokens).
In conclusion, GPT-5 is more expensive than Qwen3 VL 4B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 accepts 400,000 input tokens compared to Qwen3 VL 4B Instruct's 262,144 tokens. Qwen3 VL 4B Instruct can generate longer responses up to 262,144 tokens, while GPT-5 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-5 and Qwen3 VL 4B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5
Qwen3 VL 4B Instruct
License
Usage and distribution terms
GPT-5 is licensed under a proprietary license, while Qwen3 VL 4B Instruct 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 was released on 2025-08-07, while Qwen3 VL 4B Instruct was released on 2025-09-22.
Qwen3 VL 4B Instruct is 2 months newer than GPT-5.
Aug 7, 2025
10 months ago
Sep 22, 2025
9 months ago
1mo newerKnowledge Cutoff
When training data ends
GPT-5 has a documented knowledge cutoff of 2024-09-30, while Qwen3 VL 4B Instruct's cutoff date is not specified.
We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen3 VL 4B Instruct's cutoff date.
Sep 2024
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Provider Availability
GPT-5 is available from OpenAI. Qwen3 VL 4B Instruct is available from DeepInfra.
GPT-5
Qwen3 VL 4B Instruct
Outputs Comparison
Key Takeaways
GPT-5
View detailsOpenAI
Qwen3 VL 4B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5 vs Qwen3 VL 4B Instruct.