Model Comparison
Gemini 1.5 Pro vs Qwen3 235B A22BWhich is better in 2026?
Gemini 1.5 Pro shows notably better performance in the majority of benchmarks. Qwen3 235B A22B is 43.8x cheaper per token.
Verdict: Gemini 1.5 Pro vs Qwen3 235B A22B — which is better?
Gemini 1.5 Pro (by Google) and Qwen3 235B A22B (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 1.5 Pro outperforms in 4 benchmarks (GPQA, MATH, MGSM, MMLU-Pro), while Qwen3 235B A22B is better at 2 benchmarks (GSM8k, MMLU). Gemini 1.5 Pro shows notably better performance in the majority of benchmarks.
On price, Qwen3 235B A22B is roughly 43.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 1.5 Pro if…
- you want the strongest raw capability — it leads on 4 of 6 shared benchmarks
- you process long inputs — it offers a 2,097,152 token context window
Choose Qwen3 235B A22B if…
- cost matters — it's about 43.8x cheaper per token
- you want the most recent training data — it shipped Apr 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Pro outperforms in 4 benchmarks (GPQA, MATH, MGSM, MMLU-Pro), while Qwen3 235B A22B is better at 2 benchmarks (GSM8k, MMLU).
Gemini 1.5 Pro shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 25.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 100.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, Gemini 1.5 Pro is more expensive than Qwen3 235B A22B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Qwen3 235B A22B's 128,000 tokens. Qwen3 235B A22B can generate longer responses up to 128,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Pro supports multimodal inputs, whereas Qwen3 235B A22B does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Pro
Qwen3 235B A22B
License
Usage and distribution terms
Gemini 1.5 Pro is licensed under a proprietary license, while Qwen3 235B A22B 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 1.5 Pro was released on 2024-05-01, while Qwen3 235B A22B was released on 2025-04-29.
Qwen3 235B A22B is 12 months newer than Gemini 1.5 Pro.
May 1, 2024
2.2 years ago
Apr 29, 2025
1.2 years ago
12mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Qwen3 235B A22B's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Qwen3 235B A22B's cutoff date.
Nov 2023
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Provider Availability
Gemini 1.5 Pro is available from Google. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
Gemini 1.5 Pro
Qwen3 235B A22B
Outputs Comparison
Key Takeaways
Qwen3 235B A22B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 1.5 Pro and Qwen3 235B A22B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 1.5 Pro vs Qwen3 235B A22B.