Model Comparison

GPT-4 Turbo vs Qwen3 VL 4B Instruct

GPT-4 Turbo significantly outperforms across most benchmarks. Qwen3 VL 4B Instruct is 66.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4 Turbo outperforms in 1 benchmarks (MMLU), while Qwen3 VL 4B Instruct is better at 0 benchmarks.

GPT-4 Turbo significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 4B Instruct costs less

For input processing, GPT-4 Turbo ($10.00/1M tokens) is 100.0x more expensive than Qwen3 VL 4B Instruct ($0.10/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 50.0x more expensive than Qwen3 VL 4B Instruct ($0.60/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than Qwen3 VL 4B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Tue May 12 2026 • llm-stats.com

GPT-4 Turbo

Input tokens$10.00

Output tokens$30.00

Best providerAzure

Qwen3 VL 4B Instruct

Input tokens$0.10

Output tokens$0.60

Best providerDeepinfra

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Context Window

Maximum input and output token capacity

Qwen3 VL 4B Instruct accepts 262,144 input tokens compared to GPT-4 Turbo's 128,000 tokens. Qwen3 VL 4B Instruct can generate longer responses up to 262,144 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

GPT-4 Turbo

Input128,000 tokens

Output4,096 tokens

Qwen3 VL 4B Instruct

Input262,144 tokens

Output262,144 tokens

Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas GPT-4 Turbo does not.

Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text

Images

Audio

Video

Qwen3 VL 4B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4 Turbo 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.

GPT-4 Turbo

Proprietary

Closed source

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 18 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.1 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

7 months ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 4B Instruct's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 VL 4B Instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Qwen3 VL 4B Instruct

—

Provider Availability

GPT-4 Turbo is available from Azure, OpenAI. Qwen3 VL 4B Instruct is available from DeepInfra.

GPT-4 Turbo

Azure

Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

OpenAI

Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

Qwen3 VL 4B Instruct

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.60/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT-4 Turbo

View details

OpenAI

Higher MMLU score (86.5% vs 77.2%)

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4 Turbo	Qwen3 VL 4B Instruct

FAQ

Common questions about GPT-4 Turbo vs Qwen3 VL 4B Instruct.

Which is better, GPT-4 Turbo or Qwen3 VL 4B Instruct?

GPT-4 Turbo significantly outperforms across most benchmarks. GPT-4 Turbo is made by OpenAI and Qwen3 VL 4B Instruct 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-4 Turbo compare to Qwen3 VL 4B Instruct in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

Is GPT-4 Turbo cheaper than Qwen3 VL 4B Instruct?

Qwen3 VL 4B Instruct is 100.0x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. Qwen3 VL 4B Instruct costs $0.10/M input and $0.60/M output via deepinfra.

What are the context window sizes for GPT-4 Turbo and Qwen3 VL 4B Instruct?

GPT-4 Turbo supports 128K tokens and Qwen3 VL 4B Instruct 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-4 Turbo and Qwen3 VL 4B Instruct?

Key differences include context window (128K vs 262K), input pricing ($10.00 vs $0.10/M), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Qwen3 VL 4B Instruct?

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