GPT-4o vs Qwen3 VL 4B Thinking
GPT-4o and Qwen3 VL 4B Thinking are closely matched at 11.5 and 12.9 on the LLM Stats Score. Qwen3 VL 4B Thinking is 13.5x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-4o and Qwen3 VL 4B Thinking are closely matched on the overall LLM Stats Score at 11.5 and 12.9.
In the 3 individual benchmarks reported for both models, Qwen3 VL 4B Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 VL 4B Thinking is roughly 13.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 4B Thinking also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o
- you want predictable pricing at $2.50/M input and $10.00/M output
Choose Qwen3 VL 4B Thinking
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 13.5x cheaper per token
- you process long inputs — it offers a 262,144 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for GPT-4o · 48 for Qwen3 VL 4B Thinking
GPT-4o outperforms in 1 benchmarks (MMLU), while Qwen3 VL 4B Thinking is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3 VL 4B Thinking shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 25.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 10.0x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).
In conclusion, GPT-4o is more expensive than Qwen3 VL 4B Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to GPT-4o's 128,000 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while GPT-4o is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4o and Qwen3 VL 4B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Qwen3 VL 4B Thinking
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while Qwen3 VL 4B 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 4B Thinking was released on 2025-09-22.
Qwen3 VL 4B Thinking is 17 months newer than GPT-4o.
May 13, 2024
2.4 years ago
Sep 22, 2025
1.0 years 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 4B Thinking is available from DeepInfra.
GPT-4o
Qwen3 VL 4B Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Qwen3 VL 4B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Qwen3 VL 4B Thinking.