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GPT-4 Turbo vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking leads the LLM Stats Score 18.2 to 9.0. Qwen3 VL 30B A3B Thinking is 37.7x cheaper per token.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 30B A3B Thinking leads the overall LLM Stats Score 18.2 to 9.0, ranking #219 overall.

In the 2 individual benchmarks reported for both models, Qwen3 VL 30B A3B Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 VL 30B A3B Thinking is roughly 37.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 30B A3B Thinking also accepts a larger context window (131,072 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 Turbo

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

Choose Qwen3 VL 30B A3B Thinking

  • overall performance matters — it scores 18.2 and ranks #219 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 37.7x cheaper per token
  • you process long inputs — it offers a 131,072 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

At a glance

The differences that matter most.

Core performance indexes
9.0
#276
18.2
#219
9.2
#272
19.5
#205
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$10.00 / M
$0.20 / M
Output price
$30.00 / M
$0.99 / M
Context window
128,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4 Turbo
Qwen3 VL 30B A3B Thinking
17.2#198
22.3#139
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GPT-4 Turbo · 50 for Qwen3 VL 30B A3B Thinking

2 shared

GPT-4 Turbo outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 2 benchmarks (GPQA, MMLU).

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Thinking costs less

For input processing, GPT-4 Turbo ($10.00/1M tokens) is 50.0x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 30.3x more expensive than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than Qwen3 VL 30B A3B Thinking.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input tokens$0.20
Output tokens$0.99
Best providerNovita
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Qwen3 VL 30B A3B Thinking accepts 131,072 input tokens compared to GPT-4 Turbo's 128,000 tokens. Qwen3 VL 30B A3B Thinking can generate longer responses up to 32,768 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 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 30B A3B Thinking supports multimodal inputs, whereas GPT-4 Turbo does not.

Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo is licensed under a proprietary license, while Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 18 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.5 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

1.0 years 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 30B A3B Thinking'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 30B A3B Thinking's cutoff date.

GPT-4 Turbo

Dec 2023

Qwen3 VL 30B A3B Thinking

Provider Availability

GPT-4 Turbo is available from Azure, OpenAI. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

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 30B A3B Thinking

novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
deepinfra logo
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

Judge for yourself.

Run your own prompts against GPT-4 Turbo and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about GPT-4 Turbo vs Qwen3 VL 30B A3B Thinking.

Which is better, GPT-4 Turbo or Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking leads the LLM Stats Score 18.2 to 9.0. GPT-4 Turbo is made by OpenAI and Qwen3 VL 30B A3B Thinking 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 Turbo compare to Qwen3 VL 30B A3B Thinking in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

Is GPT-4 Turbo cheaper than Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking is 50.0x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.

What are the context window sizes for GPT-4 Turbo and Qwen3 VL 30B A3B Thinking?

GPT-4 Turbo supports 128K tokens and Qwen3 VL 30B A3B Thinking 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 Turbo and Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (9.0 vs 18.2), context window (128K vs 131K), input pricing ($10.00 vs $0.20/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 30B A3B Thinking?

GPT-4 Turbo is developed by OpenAI and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.