Gemini 1.5 Pro vs Qwen3 VL 30B A3B Instruct
Both models are evenly matched across the benchmarks. Qwen3 VL 30B A3B Instruct is 13.5x cheaper per token.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Gemini 1.5 Pro outperforms in 2 benchmarks (MMLU, Video-MME), while Qwen3 VL 30B A3B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro). Both models are evenly matched across the benchmarks.
On price, Qwen3 VL 30B A3B Instruct is roughly 13.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemini 1.5 Pro
- you process long inputs — it offers a 2,097,152 token context window
Choose Qwen3 VL 30B A3B Instruct
- cost matters — it's about 13.5x 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.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Pro outperforms in 2 benchmarks (MMLU, Video-MME), while Qwen3 VL 30B A3B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).
Both models are evenly matched across the benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 12.5x more expensive than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).
For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 14.3x more expensive than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).
In conclusion, Gemini 1.5 Pro is more expensive than Qwen3 VL 30B A3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Qwen3 VL 30B A3B Instruct's 131,072 tokens. Qwen3 VL 30B A3B Instruct can generate longer responses up to 32,768 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 1.5 Pro and Qwen3 VL 30B A3B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 1.5 Pro
Qwen3 VL 30B A3B Instruct
License
Usage and distribution terms
Gemini 1.5 Pro is licensed under a proprietary license, while Qwen3 VL 30B A3B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
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 Instruct was released on 2025-09-22.
Qwen3 VL 30B A3B Instruct is 17 months newer than Gemini 1.5 Pro.
May 1, 2024
2.3 years ago
Sep 22, 2025
11 months ago
1.4yr newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Qwen3 VL 30B A3B Instruct'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 Instruct's cutoff date.
Nov 2023
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Provider Availability
Gemini 1.5 Pro is available from Google. Qwen3 VL 30B A3B Instruct is available from Novita, DeepInfra.
Gemini 1.5 Pro
Qwen3 VL 30B A3B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Pro and Qwen3 VL 30B A3B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Pro vs Qwen3 VL 30B A3B Instruct.