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Gemini 2.5 Pro vs Qwen3 VL 30B A3B Thinking

Gemini 2.5 Pro leads the LLM Stats Score 27.8 to 18.2. Qwen3 VL 30B A3B Thinking is 8.6x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 2.5 Pro leads the overall LLM Stats Score 27.8 to 18.2, ranking #142 overall.

In the 4 individual benchmarks reported for both models, Gemini 2.5 Pro wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 VL 30B A3B Thinking is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 Pro also accepts a larger context window (1,000,000 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 Gemini 2.5 Pro

  • overall performance matters — it scores 27.8 and ranks #142 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window

Choose Qwen3 VL 30B A3B Thinking

  • cost matters — it's about 8.6x 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.

Gemini 2.5 Pro
Google
Qwen3 VL 30B A3B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
27.8
#142
18.2
#219
Reasoning
27.2
#144
19.5
#205
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
$1.25 / M
$0.20 / M
Output price
$10.00 / M
$0.99 / M
Context window
1,000,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 2.5 Pro
Qwen3 VL 30B A3B Thinking
Math
22.6#136
22.3#139
Vision
16.1#92
12.2#109
Multimodal
22.4#65
15.0#95
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 2.5 Pro · 50 for Qwen3 VL 30B A3B Thinking

4 shared

Gemini 2.5 Pro outperforms in 3 benchmarks (GPQA, SimpleQA, Video-MME), while Qwen3 VL 30B A3B Thinking is better at 1 benchmark (AIME 2025).

Gemini 2.5 Pro shows notably better performance in the majority of benchmarks.

Wed Sep 23 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, Gemini 2.5 Pro ($1.25/1M tokens) is 6.3x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 10.1x more expensive than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

In conclusion, Gemini 2.5 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
Wed Sep 23 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerDeepinfra
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 2.5 Pro accepts 1,000,000 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. Gemini 2.5 Pro can generate longer responses up to 1,000,000 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.

Google
Gemini 2.5 Pro
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.5 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 2.5 Pro

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 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 2.5 Pro

Proprietary

Closed source

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 4 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

1.3 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

1.0 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3 VL 30B A3B Thinking's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3 VL 30B A3B Thinking's cutoff date.

Gemini 2.5 Pro

Jan 2025

Qwen3 VL 30B A3B Thinking

—

Provider Availability

Gemini 2.5 Pro is available from DeepInfra, Google. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

Gemini 2.5 Pro

deepinfra logo
Deepinfra
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
google logo
Google
Input Price:Input: $1.25/1MOutput 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→

Judge for yourself.

Run your own prompts against Gemini 2.5 Pro and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Gemini 2.5 Pro
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about Gemini 2.5 Pro vs Qwen3 VL 30B A3B Thinking.

Which is better, Gemini 2.5 Pro or Qwen3 VL 30B A3B Thinking?

Gemini 2.5 Pro leads the LLM Stats Score 27.8 to 18.2. Gemini 2.5 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.5 Pro compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. 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 Gemini 2.5 Pro cheaper than Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking is 6.3x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via deepinfra. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.

What are the context window sizes for Gemini 2.5 Pro and Qwen3 VL 30B A3B Thinking?

Gemini 2.5 Pro supports 1.0M 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 Gemini 2.5 Pro and Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (27.8 vs 18.2), context window (1.0M vs 131K), input pricing ($1.25 vs $0.20/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and Qwen3 VL 30B A3B Thinking?

Gemini 2.5 Pro is developed by Google and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.

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