Model Comparison

GPT-4o vs Qwen3 VL 4B Thinking

Qwen3 VL 4B Thinking shows notably better performance in the majority of benchmarks. Qwen3 VL 4B Thinking is 13.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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.

Wed May 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 4B Thinking costs less

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

Lowest available price from all providers

Wed May 06 2026 • llm-stats.com

GPT-4o

Input tokens$2.50

Output tokens$10.00

Best providerAzure

Qwen3 VL 4B Thinking

Input tokens$0.10

Output tokens$1.00

Best providerDeepinfra

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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.

GPT-4o

Input128,000 tokens

Output4,096 tokens

Qwen3 VL 4B Thinking

Input262,144 tokens

Output262,144 tokens

Wed May 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text

Images

Audio

Video

Qwen3 VL 4B Thinking

Text

Images

Audio

Video

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.

GPT-4o

Proprietary

Closed source

Qwen3 VL 4B Thinking

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.

GPT-4o

May 13, 2024

2.0 years ago

Qwen3 VL 4B Thinking

Sep 22, 2025

7 months ago

1.4yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-4o is available from Azure, OpenAI. Qwen3 VL 4B Thinking is available from DeepInfra.

GPT-4o

Azure

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

OpenAI

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Qwen3 VL 4B Thinking

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $1.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT-4o

View details

OpenAI

Higher MMLU score (88.7% vs 81.5%)

Qwen3 VL 4B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher GPQA score (64.1% vs 53.6%)

Higher MMLU-Pro score (73.6% vs 72.6%)

GPT-4o

Qwen3 VL 4B Thinking

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4o	Qwen3 VL 4B Thinking

FAQ

Common questions about GPT-4o vs Qwen3 VL 4B Thinking.

Which is better, GPT-4o or Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking shows notably better performance in the majority of benchmarks. GPT-4o is made by OpenAI and Qwen3 VL 4B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o compare to Qwen3 VL 4B Thinking in benchmarks?

GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%. Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%.

Is GPT-4o cheaper than Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is 25.0x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. Qwen3 VL 4B Thinking costs $0.10/M input and $1.00/M output via deepinfra.

What are the context window sizes for GPT-4o and Qwen3 VL 4B Thinking?

GPT-4o supports 128K tokens and Qwen3 VL 4B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o and Qwen3 VL 4B Thinking?

Key differences include context window (128K vs 262K), input pricing ($2.50 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and Qwen3 VL 4B Thinking?

GPT-4o is developed by OpenAI and Qwen3 VL 4B Thinking is developed by Alibaba Cloud / Qwen Team.