Model Comparison

GPT-4.1 mini vs Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. GPT-4.1 mini is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-4.1 mini 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.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4.1 mini costs less

For input processing, GPT-4.1 mini ($0.40/1M tokens) is 1.1x cheaper than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).

For output processing, GPT-4.1 mini ($1.60/1M tokens) is 2.2x cheaper than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).

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

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
OpenAI
GPT-4.1 mini
Input tokens$0.40
Output tokens$1.60
Best providerOpenAI
Alibaba Cloud / Qwen Team
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 mini 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 mini is limited to 32,768 tokens.

OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.1 mini 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 mini

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 mini 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 mini

Proprietary

Closed source

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 mini 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 mini.

GPT-4.1 mini

Apr 14, 2025

1.0 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

7 months ago

5mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Qwen3 VL 235B A22B Thinking's cutoff date is not specified.

We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without Qwen3 VL 235B A22B Thinking's cutoff date.

GPT-4.1 mini

May 2024

Qwen3 VL 235B A22B Thinking

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Provider Availability

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

GPT-4.1 mini

openai logo
OpenAI
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M

Qwen3 VL 235B A22B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $3.49/1M
novita logo
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

OpenAI
Larger context window (1,047,576 tokens)
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team
Has open weights
Higher AIME 2025 score (89.7% vs 40.2%)
Higher CharXiv-R score (66.1% vs 56.8%)
Higher Humanity's Last Exam score (13.6% vs 3.7%)
Higher IFEval score (88.2% vs 84.1%)
Higher MMLU score (90.6% vs 87.5%)
Higher Multi-IF score (79.1% vs 67.0%)
OpenAIGPT-4.1 mini
Alibaba Cloud / Qwen TeamQwen3 VL 235B A22B Thinking
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Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4.1 mini
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking

FAQ

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

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. GPT-4.1 mini 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.
GPT-4.1 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.
GPT-4.1 mini is 1.1x cheaper for input tokens. GPT-4.1 mini costs $0.40/M input and $1.60/M output via openai. Qwen3 VL 235B A22B Thinking costs $0.45/M input and $3.49/M output via deepinfra.
GPT-4.1 mini 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.
Key differences include context window (1.0M vs 262K), input pricing ($0.40 vs $0.45/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-4.1 mini is developed by OpenAI and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.