Gemini 3 Pro vs Qwen3-235B-A22B-Instruct-2507
Gemini 3 Pro significantly outperforms across most benchmarks. Qwen3-235B-A22B-Instruct-2507 is 14.4x cheaper per token.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
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.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemini 3 Pro
- 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
- cost matters — it's about 14.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
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
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.
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
Qwen3-235B-A22B-Instruct-2507
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.
Proprietary
Closed source
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.
Nov 18, 2025
9 months ago
3mo newerJul 22, 2025
1.1 years 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.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.
Gemini 3 Pro
Qwen3-235B-A22B-Instruct-2507
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3 Pro and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3 Pro vs Qwen3-235B-A22B-Instruct-2507.