Model Comparison

GPT-4.1 vs Qwen3 VL 30B A3B Instruct

GPT-4.1 shows notably better performance in the majority of benchmarks. Qwen3 VL 30B A3B Instruct is 10.8x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-4.1 outperforms in 5 benchmarks (CharXiv-D, CharXiv-R, IFEval, MMLU, Multi-IF), while Qwen3 VL 30B A3B Instruct is better at 2 benchmarks (AIME 2025, GPQA).

GPT-4.1 shows notably better performance in the majority of benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Instruct costs less

For input processing, GPT-4.1 ($2.00/1M tokens) is 10.0x more expensive than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).

For output processing, GPT-4.1 ($8.00/1M tokens) is 11.4x more expensive than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).

In conclusion, GPT-4.1 is more expensive than Qwen3 VL 30B A3B Instruct.*

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

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

GPT-4.1

Input tokens$2.00

Output tokens$8.00

Best providerOpenAI

Qwen3 VL 30B A3B Instruct

Input tokens$0.20

Output tokens$0.70

Best providerNovita

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 30B A3B Instruct's 131,072 tokens. Both models can generate responses up to 32,768 tokens.

GPT-4.1

Input1,047,576 tokens

Output32,768 tokens

Qwen3 VL 30B A3B Instruct

Input131,072 tokens

Output32,768 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.1 and Qwen3 VL 30B A3B 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 30B A3B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4.1 is licensed under a proprietary license, while Qwen3 VL 30B A3B 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 30B A3B 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 30B A3B Instruct was released on 2025-09-22.

Qwen3 VL 30B A3B Instruct is 5 months newer than GPT-4.1.

GPT-4.1

Apr 14, 2025

1.1 years ago

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

7 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 30B A3B 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 30B A3B Instruct's cutoff date.

GPT-4.1

Jun 2024

Qwen3 VL 30B A3B Instruct

—

Provider Availability

GPT-4.1 is available from OpenAI. Qwen3 VL 30B A3B Instruct is available from Novita, DeepInfra.

GPT-4.1

OpenAI

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

Qwen3 VL 30B A3B Instruct

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $0.70/1M

Deepinfra

Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

GPT-4.1

View details

OpenAI

Larger context window (1,047,576 tokens)

Higher CharXiv-D score (87.9% vs 85.5%)

Higher CharXiv-R score (56.7% vs 48.9%)

Higher IFEval score (87.4% vs 85.8%)

Higher MMLU score (90.2% vs 85.0%)

Higher Multi-IF score (70.8% vs 66.1%)

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher AIME 2025 score (69.3% vs 46.4%)

Higher GPQA score (70.4% vs 66.3%)

GPT-4.1

Qwen3 VL 30B A3B Instruct

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4.1	Qwen3 VL 30B A3B Instruct

FAQ

Common questions about GPT-4.1 vs Qwen3 VL 30B A3B Instruct.

Which is better, GPT-4.1 or Qwen3 VL 30B A3B Instruct?

GPT-4.1 shows notably better performance in the majority of benchmarks. GPT-4.1 is made by OpenAI and Qwen3 VL 30B A3B 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 30B A3B 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 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

Is GPT-4.1 cheaper than Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct is 10.0x cheaper for input tokens. GPT-4.1 costs $2.00/M input and $8.00/M output via openai. Qwen3 VL 30B A3B Instruct costs $0.20/M input and $0.70/M output via novita.

What are the context window sizes for GPT-4.1 and Qwen3 VL 30B A3B Instruct?

GPT-4.1 supports 1.0M tokens and Qwen3 VL 30B A3B Instruct supports 131K 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 30B A3B Instruct?

Key differences include context window (1.0M vs 131K), input pricing ($2.00 vs $0.20/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 30B A3B Instruct?

GPT-4.1 is developed by OpenAI and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.