Model Comparison

Gemini 3 Pro vs Qwen3 VL 4B ThinkingWhich is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks. Qwen3 VL 4B Thinking is 13.8x cheaper per token.

Verdict: Gemini 3 Pro vs Qwen3 VL 4B Thinking — which is better?

Gemini 3 Pro (by Google) and Qwen3 VL 4B Thinking (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.

Gemini 3 Pro outperforms in 6 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, ScreenSpot Pro, VideoMMMU), while Qwen3 VL 4B Thinking is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

On price, Qwen3 VL 4B Thinking is roughly 13.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3 Pro if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2025

Choose Qwen3 VL 4B Thinking if…

  • cost matters — it's about 13.8x cheaper per token
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 3 Pro outperforms in 6 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, ScreenSpot Pro, VideoMMMU), while Qwen3 VL 4B Thinking is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Mon Jun 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 4B Thinking costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 20.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 12.0x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than Qwen3 VL 4B Thinking.*

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

Lowest available price from all providers
Mon Jun 08 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
Input tokens$0.10
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to Qwen3 VL 4B Thinking's 262,144 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
Input262,144 tokens
Output262,144 tokens
Mon Jun 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Pro and Qwen3 VL 4B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3 Pro

Text
Images
Audio
Video

Qwen3 VL 4B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Qwen3 VL 4B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3 Pro

Proprietary

Closed source

Qwen3 VL 4B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Qwen3 VL 4B Thinking was released on 2025-09-22.

Gemini 3 Pro is 2 months newer than Qwen3 VL 4B Thinking.

Gemini 3 Pro

Nov 18, 2025

6 months ago

1mo newer
Qwen3 VL 4B Thinking

Sep 22, 2025

8 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3 VL 4B Thinking's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3 VL 4B Thinking's cutoff date.

Gemini 3 Pro

Jan 2025

Qwen3 VL 4B Thinking

—

Provider Availability

Gemini 3 Pro is available from Google. Qwen3 VL 4B Thinking is available from DeepInfra.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Qwen3 VL 4B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher AIME 2025 score (100.0% vs 74.5%)
Higher CharXiv-R score (81.4% vs 50.3%)
Higher GPQA score (91.9% vs 64.1%)
Higher MMMU-Pro score (81.0% vs 57.0%)
Higher ScreenSpot Pro score (72.7% vs 49.2%)
Higher VideoMMMU score (87.6% vs 69.4%)
Alibaba Cloud / Qwen Team

Qwen3 VL 4B Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking

FAQ

Common questions about Gemini 3 Pro vs Qwen3 VL 4B Thinking.

Which is better, Gemini 3 Pro or Qwen3 VL 4B Thinking?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Qwen3 VL 4B 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 Gemini 3 Pro compare to Qwen3 VL 4B Thinking in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%.

Is Gemini 3 Pro cheaper than Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is 20.0x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Qwen3 VL 4B Thinking costs $0.10/M input and $1.00/M output via deepinfra.

What are the context window sizes for Gemini 3 Pro and Qwen3 VL 4B Thinking?

Gemini 3 Pro supports 1.0M tokens and Qwen3 VL 4B 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 Gemini 3 Pro and Qwen3 VL 4B Thinking?

Key differences include context window (1.0M vs 262K), input pricing ($2.00 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and Qwen3 VL 4B Thinking?

Gemini 3 Pro is developed by Google and Qwen3 VL 4B Thinking is developed by Alibaba Cloud / Qwen Team.

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