Model Comparison

Gemini 3.1 Pro vs Qwen3-235B-A22B-Thinking-2507Which is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Qwen3-235B-A22B-Thinking-2507 is 5.8x cheaper per token.

Verdict: Gemini 3.1 Pro vs Qwen3-235B-A22B-Thinking-2507 — which is better?

Gemini 3.1 Pro (by Google) and Qwen3-235B-A22B-Thinking-2507 (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3-235B-A22B-Thinking-2507 is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, Qwen3-235B-A22B-Thinking-2507 is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose Qwen3-235B-A22B-Thinking-2507 if…

  • cost matters — it's about 5.8x cheaper per token
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3-235B-A22B-Thinking-2507 is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sun Jun 07 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 3.1 Pro ($2.50/1M tokens) is 8.3x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 5.0x more expensive than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Gemini 3.1 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
Sun Jun 07 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Alibaba Cloud / Qwen Team
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 3.1 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 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

Qwen3-235B-A22B-Thinking-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 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 3.1 Pro

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Gemini 3.1 Pro is 7 months newer than Qwen3-235B-A22B-Thinking-2507.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

6mo newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

10 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 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 3.1 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 3.1 Pro

Jan 2025

Qwen3-235B-A22B-Thinking-2507

—

Provider Availability

Gemini 3.1 Pro is available from Google. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 81.1%)
Higher Humanity's Last Exam score (51.4% vs 18.2%)
Alibaba Cloud / Qwen Team
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Gemini 3.1 Pro vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemini 3.1 Pro or Qwen3-235B-A22B-Thinking-2507?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 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 3.1 Pro compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. 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 3.1 Pro cheaper than Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 is 8.3x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/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 3.1 Pro and Qwen3-235B-A22B-Thinking-2507?

Gemini 3.1 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 3.1 Pro and Qwen3-235B-A22B-Thinking-2507?

Key differences include context window (1.0M vs 262K), input pricing ($2.50 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 3.1 Pro and Qwen3-235B-A22B-Thinking-2507?

Gemini 3.1 Pro is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.

Related comparisons