Model Comparison

Gemini 3 Pro vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks. Qwen3-235B-A22B-Instruct-2507 is 14.4x cheaper per token.

Verdict: Gemini 3 Pro vs Qwen3-235B-A22B-Instruct-2507 — which is better?

Gemini 3 Pro (by Google) and Qwen3-235B-A22B-Instruct-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 Pro outperforms in 3 benchmarks (AIME 2025, GPQA, SimpleQA), while Qwen3-235B-A22B-Instruct-2507 is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

On price, Qwen3-235B-A22B-Instruct-2507 is roughly 14.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3 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 Pro if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2025

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

  • cost matters — it's about 14.4x cheaper per token
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3 Pro outperforms in 3 benchmarks (AIME 2025, GPQA, SimpleQA), while Qwen3-235B-A22B-Instruct-2507 is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

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

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 13.3x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 15.0x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

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

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
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-Instruct-2507's 262,144 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-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-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Qwen3-235B-A22B-Instruct-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-Instruct-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-Instruct-2507 was released on 2025-07-22.

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

Gemini 3 Pro

Nov 18, 2025

6 months ago

3mo newer
Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

10 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3-235B-A22B-Instruct-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-Instruct-2507's cutoff date.

Gemini 3 Pro

Jan 2025

Qwen3-235B-A22B-Instruct-2507

—

Provider Availability

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

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Qwen3-235B-A22B-Instruct-2507

fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
* 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 AIME 2025 score (100.0% vs 70.3%)
Higher GPQA score (91.9% vs 77.5%)
Higher SimpleQA score (72.1% vs 54.3%)
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 Pro
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

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

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

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Qwen3-235B-A22B-Instruct-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-Instruct-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-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

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

Qwen3-235B-A22B-Instruct-2507 is 13.3x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks.

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

Gemini 3 Pro supports 1.0M tokens and Qwen3-235B-A22B-Instruct-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-Instruct-2507?

Key differences include context window (1.0M vs 262K), input pricing ($2.00 vs $0.15/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-Instruct-2507?

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

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