Model Comparison

GPT-4.1 vs Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. Qwen3 VL 235B A22B Thinking is 2.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-4.1 outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 6 benchmarks (AIME 2025, CharXiv-R, Humanity's Last Exam, IFEval, MMLU, Multi-IF).

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 235B A22B Thinking costs less

For input processing, GPT-4.1 ($2.00/1M tokens) is 4.4x more expensive than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).

For output processing, GPT-4.1 ($8.00/1M tokens) is 2.3x more expensive than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).

In conclusion, GPT-4.1 is more expensive than Qwen3 VL 235B A22B Thinking.*

* 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 235B A22B Thinking

Input tokens$0.45

Output tokens$3.49

Best providerDeepinfra

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Context Window

Maximum input and output token capacity

GPT-4.1 accepts 1,047,576 input tokens compared to Qwen3 VL 235B A22B Thinking's 262,144 tokens. Qwen3 VL 235B A22B Thinking 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 235B A22B Thinking

Input262,144 tokens

Output262,144 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.1 and Qwen3 VL 235B A22B Thinking 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 235B A22B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4.1 is licensed under a proprietary license, while Qwen3 VL 235B A22B Thinking 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 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 5 months newer than GPT-4.1.

GPT-4.1

Apr 14, 2025

1.1 years ago

Qwen3 VL 235B A22B Thinking

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 235B A22B Thinking'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 235B A22B Thinking's cutoff date.

GPT-4.1

Jun 2024

Qwen3 VL 235B A22B Thinking

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Provider Availability

GPT-4.1 is available from OpenAI. Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita.

GPT-4.1

OpenAI

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

Qwen3 VL 235B A22B Thinking

Deepinfra

Input Price:Input: $0.45/1MOutput Price:Output: $3.49/1M

Novita

Input Price:Input: $0.98/1MOutput Price:Output: $3.95/1M

* 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)

Qwen3 VL 235B A22B Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher AIME 2025 score (89.7% vs 46.4%)

Higher CharXiv-R score (66.1% vs 56.7%)

Higher Humanity's Last Exam score (13.6% vs 5.4%)

Higher IFEval score (88.2% vs 87.4%)

Higher MMLU score (90.6% vs 90.2%)

Higher Multi-IF score (79.1% vs 70.8%)

GPT-4.1

Qwen3 VL 235B A22B Thinking

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Detailed Comparison

AI Model Comparison Table
Feature	GPT-4.1	Qwen3 VL 235B A22B Thinking

FAQ

Common questions about GPT-4.1 vs Qwen3 VL 235B A22B Thinking.

Which is better, GPT-4.1 or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. GPT-4.1 is made by OpenAI and Qwen3 VL 235B A22B 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-4.1 compare to Qwen3 VL 235B A22B Thinking in benchmarks?

GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

Is GPT-4.1 cheaper than Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking is 4.4x cheaper for input tokens. GPT-4.1 costs $2.00/M input and $8.00/M output via openai. Qwen3 VL 235B A22B Thinking costs $0.45/M input and $3.49/M output via deepinfra.

What are the context window sizes for GPT-4.1 and Qwen3 VL 235B A22B Thinking?

GPT-4.1 supports 1.0M tokens and Qwen3 VL 235B A22B 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-4.1 and Qwen3 VL 235B A22B Thinking?

Key differences include context window (1.0M vs 262K), input pricing ($2.00 vs $0.45/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 235B A22B Thinking?

GPT-4.1 is developed by OpenAI and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.