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Gemini 2.0 Flash Thinking vs Qwen3 30B A3B

Gemini 2.0 Flash Thinking and Qwen3 30B A3B are closely matched at 17.0 and 17.6 on the LLM Stats Score.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking and Qwen3 30B A3B are closely matched on the overall LLM Stats Score at 17.0 and 17.6.

The models split the 2 individual benchmarks reported for both models evenly.

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 30B A3B

  • you want the most recent training data — it shipped Apr 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
17.0
#207
17.6
#204
17.2
#199
17.9
#196
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
128,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 8 for Qwen3 30B A3B

2 shared

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (GPQA), while Qwen3 30B A3B is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Sun Sep 06 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 30B A3B specifies input context (128,000 tokens). Only Qwen3 30B A3B specifies output context (128,000 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input128,000 tokens
Output128,000 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Qwen3 30B A3B does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Qwen3 30B A3B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while Qwen3 30B A3B 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 30B A3B

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 30B A3B was released on 2025-04-29.

Qwen3 30B A3B is 3 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

Qwen3 30B A3B

Apr 29, 2025

1.4 years ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Qwen3 30B A3B'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 30B A3B's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Qwen3 30B A3B

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 30B A3B side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemini 2.0 Flash Thinking and Qwen3 30B A3B are closely matched on the LLM Stats Score at 17.0 and 17.6. Gemini 2.0 Flash Thinking is made by Google and Qwen3 30B A3B 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 30B A3B in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Qwen3 30B A3B scores Arena Hard: 91.0%, AIME 2024: 80.4%, LiveBench: 74.3%, Multi-IF: 72.2%, AIME 2025: 70.9%.

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

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Qwen3 30B A3B supports 128K 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 30B A3B?

Key differences include LLM Stats Score (17.0 vs 17.6), multimodal support (yes vs no), 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 30B A3B?

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