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GPT-4.1 mini vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.7 to 14.0. Qwen3 VL 235B A22B Instruct is 1.9x cheaper per token.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 235B A22B Instruct leads the overall LLM Stats Score 24.7 to 14.0, ranking #168 overall.

In the 5 individual benchmarks reported for both models, Qwen3 VL 235B A22B Instruct wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 VL 235B A22B Instruct is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 mini also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-4.1 mini

  • you process long inputs — it offers a 1,047,576 token context window

Choose Qwen3 VL 235B A22B Instruct

  • overall performance matters — it scores 24.7 and ranks #168 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • cost matters — it's about 1.9x cheaper per token
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
14.0
#245
24.7
#168
13.9
#238
22.5
#176
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
$0.40 / M
$0.20 / M
Output price
$1.60 / M
$0.88 / M
Context window
1,047,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared
Index
GPT-4.1 mini
Qwen3 VL 235B A22B Instruct
13.6#226
23.8#125
9.1#138
17.9#86
10.5#70
15.0#51
4.0#100
16.3#39
15.8#90
20.6#70
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for GPT-4.1 mini · 50 for Qwen3 VL 235B A22B Instruct

5 shared

GPT-4.1 mini outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 5 benchmarks (AIME 2025, CharXiv-R, IFEval, MMLU, Multi-IF).

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

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 235B A22B Instruct costs less

For input processing, GPT-4.1 mini ($0.40/1M tokens) is 2.0x more expensive than Qwen3 VL 235B A22B Instruct ($0.20/1M tokens).

For output processing, GPT-4.1 mini ($1.60/1M tokens) is 1.8x more expensive than Qwen3 VL 235B A22B Instruct ($0.88/1M tokens).

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

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

Lowest available price from all providers
Wed Sep 23 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 Instruct
Input tokens$0.20
Output tokens$0.88
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-4.1 mini accepts 1,047,576 input tokens compared to Qwen3 VL 235B A22B Instruct's 262,144 tokens. Qwen3 VL 235B A22B Instruct 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 Instruct
Input262,144 tokens
Output262,144 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4.1 mini and Qwen3 VL 235B A22B Instruct 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 Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

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

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 Instruct was released on 2025-09-22.

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

GPT-4.1 mini

Apr 14, 2025

1.4 years ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

1.0 years 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 Instruct'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 Instruct's cutoff date.

GPT-4.1 mini

May 2024

Qwen3 VL 235B A22B Instruct

Provider Availability

GPT-4.1 mini is available from OpenAI. Qwen3 VL 235B A22B Instruct 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 Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $0.88/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4.1 mini and Qwen3 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.

GPT-4.1 mini
✓ Preferred
Qwen3 VL 235B A22B Instruct
Open in Playground

FAQ

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

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

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.7 to 14.0. GPT-4.1 mini is made by OpenAI and Qwen3 VL 235B A22B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4.1 mini compare to Qwen3 VL 235B A22B Instruct in benchmarks?

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 Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

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

Qwen3 VL 235B A22B Instruct is 2.0x cheaper for input tokens. GPT-4.1 mini costs $0.40/M input and $1.60/M output via openai. Qwen3 VL 235B A22B Instruct costs $0.20/M input and $0.88/M output via deepinfra.

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

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

Key differences include LLM Stats Score (14.0 vs 24.7), context window (1.0M vs 262K), input pricing ($0.40 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 mini and Qwen3 VL 235B A22B Instruct?

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