Model Comparison

Gemini 1.5 Pro vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking shows notably better performance in the majority of benchmarks. Qwen3 VL 30B A3B Thinking is 11.0x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 1.5 Pro outperforms in 1 benchmarks (Video-MME), while Qwen3 VL 30B A3B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 VL 30B A3B Thinking shows notably better performance in the majority of benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Thinking costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 12.5x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 10.1x more expensive than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

In conclusion, Gemini 1.5 Pro 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 Apr 21 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
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

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. Qwen3 VL 30B A3B Thinking can generate longer responses up to 32,768 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and Qwen3 VL 30B A3B Thinking support multimodal inputs.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro 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.

Gemini 1.5 Pro

Proprietary

Closed source

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 17 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.0 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

7 months ago

1.4yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Qwen3 VL 30B A3B Thinking's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Qwen3 VL 30B A3B Thinking's cutoff date.

Gemini 1.5 Pro

Nov 2023

Qwen3 VL 30B A3B Thinking

—

Provider Availability

Gemini 1.5 Pro is available from Google. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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→

Key Takeaways

Google
Larger context window (2,097,152 tokens)
Higher Video-MME score (78.6% vs 73.3%)
Alibaba Cloud / Qwen Team

Qwen3 VL 30B A3B Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (74.4% vs 59.1%)
Higher MMLU score (87.6% vs 85.9%)
Higher MMLU-Pro score (80.5% vs 75.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking

FAQ

Common questions about Gemini 1.5 Pro vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking shows notably better performance in the majority of benchmarks. Gemini 1.5 Pro is made by Google and Qwen3 VL 30B A3B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.
Qwen3 VL 30B A3B Thinking is 12.5x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.
Gemini 1.5 Pro supports 2.1M 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.
Key differences include context window (2.1M vs 131K), input pricing ($2.50 vs $0.20/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Pro is developed by Google and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.