Model Comparison

GPT-4 Turbo vs Qwen3 VL 235B A22B InstructWhich is better in 2026?

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks. Qwen3 VL 235B A22B Instruct is 25.1x cheaper per token.

Verdict: GPT-4 Turbo vs Qwen3 VL 235B A22B Instruct — which is better?

GPT-4 Turbo (by OpenAI) and Qwen3 VL 235B A22B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-4 Turbo outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 1 benchmark (MMLU). Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

On price, Qwen3 VL 235B A22B Instruct is roughly 25.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 235B A22B Instruct also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-4 Turbo if…

  • you want predictable pricing at $10.00/M input and $30.00/M output

Choose Qwen3 VL 235B A22B Instruct if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 25.1x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4 Turbo outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 1 benchmark (MMLU).

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

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 235B A22B Instruct costs less

For input processing, GPT-4 Turbo ($10.00/1M tokens) is 33.3x more expensive than Qwen3 VL 235B A22B Instruct ($0.30/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 20.1x more expensive than Qwen3 VL 235B A22B Instruct ($1.49/1M tokens).

In conclusion, GPT-4 Turbo 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
Sat Jun 06 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input tokens$0.30
Output tokens$1.49
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3 VL 235B A22B Instruct accepts 262,144 input tokens compared to GPT-4 Turbo's 128,000 tokens. Qwen3 VL 235B A22B Instruct can generate longer responses up to 262,144 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas GPT-4 Turbo does not.

Qwen3 VL 235B A22B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text
Images
Audio
Video

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo 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 Turbo

Proprietary

Closed source

Qwen3 VL 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 18 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.2 years ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

8 months ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 235B A22B Instruct's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 VL 235B A22B Instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Qwen3 VL 235B A22B Instruct

—

Provider Availability

GPT-4 Turbo is available from Azure, OpenAI. Qwen3 VL 235B A22B Instruct is available from DeepInfra, Novita.

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

Qwen3 VL 235B A22B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.49/1M
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→

Key Takeaways

OpenAI

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MMLU score (88.8% vs 86.5%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct

FAQ

Common questions about GPT-4 Turbo vs Qwen3 VL 235B A22B Instruct.

Which is better, GPT-4 Turbo or Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks. GPT-4 Turbo 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 benchmark scores, pricing, and capabilities above.

How does GPT-4 Turbo compare to Qwen3 VL 235B A22B Instruct in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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 Turbo cheaper than Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct is 33.3x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. Qwen3 VL 235B A22B Instruct costs $0.30/M input and $1.49/M output via deepinfra.

What are the context window sizes for GPT-4 Turbo and Qwen3 VL 235B A22B Instruct?

GPT-4 Turbo supports 128K 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 Turbo and Qwen3 VL 235B A22B Instruct?

Key differences include context window (128K vs 262K), input pricing ($10.00 vs $0.30/M), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Qwen3 VL 235B A22B Instruct?

GPT-4 Turbo is developed by OpenAI and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.

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