Model Comparison

Gemini 3 Pro vs Qwen3-235B-A22B-Thinking-2507

Gemini 3 Pro significantly outperforms across most benchmarks. Qwen3-235B-A22B-Thinking-2507 is 4.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3 Pro outperforms in 3 benchmarks (AIME 2025, GPQA, Humanity's Last Exam), while Qwen3-235B-A22B-Thinking-2507 is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Thinking-2507 costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 6.7x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 4.0x more expensive than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than Qwen3-235B-A22B-Thinking-2507.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

Gemini 3 Pro

Input tokens$2.00

Output tokens$12.00

Best providerGoogle

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to Qwen3-235B-A22B-Thinking-2507's 262,144 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Gemini 3 Pro

Input1,048,576 tokens

Output65,536 tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text

Images

Audio

Video

Qwen3-235B-A22B-Thinking-2507

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3 Pro

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Gemini 3 Pro is 4 months newer than Qwen3-235B-A22B-Thinking-2507.

Gemini 3 Pro

Nov 18, 2025

5 months ago

3mo newer

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3-235B-A22B-Thinking-2507's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3-235B-A22B-Thinking-2507's cutoff date.

Gemini 3 Pro

Jan 2025

Qwen3-235B-A22B-Thinking-2507

—

Provider Availability

Gemini 3 Pro is available from Google. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Gemini 3 Pro

Google

Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Qwen3-235B-A22B-Thinking-2507

Fireworks

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Gemini 3 Pro

View details

Google

Larger context window (1,048,576 tokens)

Supports multimodal inputs

Higher AIME 2025 score (100.0% vs 92.3%)

Higher GPQA score (91.9% vs 81.1%)

Higher Humanity's Last Exam score (45.8% vs 18.2%)

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 3 Pro	Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Gemini 3 Pro vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemini 3 Pro or Qwen3-235B-A22B-Thinking-2507?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3 Pro compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

Is Gemini 3 Pro cheaper than Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 is 6.7x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.

What are the context window sizes for Gemini 3 Pro and Qwen3-235B-A22B-Thinking-2507?

Gemini 3 Pro supports 1.0M tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3 Pro and Qwen3-235B-A22B-Thinking-2507?

Key differences include context window (1.0M vs 262K), input pricing ($2.00 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and Qwen3-235B-A22B-Thinking-2507?

Gemini 3 Pro is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.