Model Comparison

GPT-4.1 vs Qwen3 VL 4B Instruct

GPT-4.1 significantly outperforms across most benchmarks. Qwen3 VL 4B Instruct is 15.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-4.1 outperforms in 4 benchmarks (CharXiv-D, CharXiv-R, IFEval, MMLU), while Qwen3 VL 4B Instruct is better at 1 benchmark (AIME 2025).

GPT-4.1 significantly outperforms across most benchmarks.

Sun May 31 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-4.1 ($2.00/1M tokens) is 20.0x more expensive than Qwen3 VL 4B Instruct ($0.10/1M tokens).

For output processing, GPT-4.1 ($8.00/1M tokens) is 13.3x more expensive than Qwen3 VL 4B Instruct ($0.60/1M tokens).

In conclusion, GPT-4.1 is more expensive than Qwen3 VL 4B Instruct.*

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

Lowest available price from all providers

Sun May 31 2026 • llm-stats.com

GPT-4.1

Input tokens$2.00

Output tokens$8.00

Best providerOpenAI

Qwen3 VL 4B Instruct

Input tokens$0.10

Output tokens$0.60

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 accepts 1,047,576 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-4.1 is limited to 32,768 tokens.

GPT-4.1

Input1,047,576 tokens

Output32,768 tokens

Qwen3 VL 4B Instruct

Input262,144 tokens

Output262,144 tokens

Sun May 31 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.1 and Qwen3 VL 4B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4.1

Text

Images

Audio

Video

Qwen3 VL 4B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4.1 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-4.1

Proprietary

Closed source

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 5 months newer than GPT-4.1.

GPT-4.1

Apr 14, 2025

1.1 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

8 months ago

5mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Qwen3 VL 4B Instruct's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3 VL 4B Instruct's cutoff date.

GPT-4.1

Jun 2024

Qwen3 VL 4B Instruct

—

Provider Availability

GPT-4.1 is available from OpenAI. Qwen3 VL 4B Instruct is available from DeepInfra.

GPT-4.1

OpenAI

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

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-4.1

View details

OpenAI

Larger context window (1,047,576 tokens)

Higher CharXiv-D score (87.9% vs 76.2%)

Higher CharXiv-R score (56.7% vs 39.7%)

Higher IFEval score (87.4% vs 82.3%)

Higher MMLU score (90.2% vs 77.2%)

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher AIME 2025 score (46.6% vs 46.4%)

GPT-4.1

Qwen3 VL 4B Instruct

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4.1	Qwen3 VL 4B Instruct

FAQ

Common questions about GPT-4.1 vs Qwen3 VL 4B Instruct.

Which is better, GPT-4.1 or Qwen3 VL 4B Instruct?

GPT-4.1 significantly outperforms across most benchmarks. GPT-4.1 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-4.1 compare to Qwen3 VL 4B Instruct in benchmarks?

GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

Is GPT-4.1 cheaper than Qwen3 VL 4B Instruct?

Qwen3 VL 4B Instruct is 20.0x cheaper for input tokens. GPT-4.1 costs $2.00/M input and $8.00/M output via openai. Qwen3 VL 4B Instruct costs $0.10/M input and $0.60/M output via deepinfra.

What are the context window sizes for GPT-4.1 and Qwen3 VL 4B Instruct?

GPT-4.1 supports 1.0M 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-4.1 and Qwen3 VL 4B Instruct?

Key differences include context window (1.0M vs 262K), input pricing ($2.00 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 and Qwen3 VL 4B Instruct?

GPT-4.1 is developed by OpenAI and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.