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Gemini 2.0 Flash Thinking vs Qwen3 VL 30B A3B Thinking

Gemini 2.0 Flash Thinking and Qwen3 VL 30B A3B Thinking are closely matched at 16.7 and 18.3 on the LLM Stats Score.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking and Qwen3 VL 30B A3B Thinking are closely matched on the overall LLM Stats Score at 16.7 and 18.3.

In the 1 individual benchmarks reported for both models, Qwen3 VL 30B A3B Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

Choose Qwen3 VL 30B A3B Thinking

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • 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
16.7
#219
18.3
#213
17.0
#212
19.5
#199
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.20 / M
Output price
— / M
$0.99 / M
Context window
131,072

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 50 for Qwen3 VL 30B A3B Thinking

1 shared

Gemini 2.0 Flash Thinking outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 1 benchmark (GPQA).

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

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and Qwen3 VL 30B A3B Thinking support multimodal inputs.

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

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking 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 2.0 Flash Thinking

Proprietary

Closed source

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 8 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

12 months ago

8mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Qwen3 VL 30B A3B Thinking's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen3 VL 30B A3B Thinking's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Qwen3 VL 30B A3B Thinking

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Qwen3 VL 30B A3B Thinking.

Which is better, Gemini 2.0 Flash Thinking or Qwen3 VL 30B A3B Thinking?

Gemini 2.0 Flash Thinking and Qwen3 VL 30B A3B Thinking are closely matched on the LLM Stats Score at 16.7 and 18.3. Gemini 2.0 Flash Thinking 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 2.0 Flash Thinking compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Qwen3 VL 30B A3B Thinking?

Gemini 2.0 Flash Thinking supports an unknown number of 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 2.0 Flash Thinking and Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (16.7 vs 18.3), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Qwen3 VL 30B A3B Thinking?

Gemini 2.0 Flash Thinking is developed by Google and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.