Model Comparison
Gemini 2.0 Flash vs Qwen3 235B A22BWhich is better in 2026?
Gemini 2.0 Flash shows notably better performance in the majority of benchmarks. Qwen3 235B A22B is 1.8x cheaper per token.
Verdict: Gemini 2.0 Flash vs Qwen3 235B A22B — which is better?
Gemini 2.0 Flash (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 2.0 Flash outperforms in 3 benchmarks (GPQA, MATH, MMLU-Pro), while Qwen3 235B A22B is better at 1 benchmark (LiveCodeBench). Gemini 2.0 Flash shows notably better performance in the majority of benchmarks.
On price, Qwen3 235B A22B is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 2.0 Flash if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
Choose Qwen3 235B A22B if…
- cost matters — it's about 1.8x 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 2.0 Flash outperforms in 3 benchmarks (GPQA, MATH, MMLU-Pro), while Qwen3 235B A22B is better at 1 benchmark (LiveCodeBench).
Gemini 2.0 Flash 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 2.0 Flash ($0.10/1M tokens) costs the same as Qwen3 235B A22B ($0.10/1M tokens).
For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 4.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, Gemini 2.0 Flash 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 2.0 Flash accepts 1,048,576 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 2.0 Flash is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.0 Flash supports multimodal inputs, whereas Qwen3 235B A22B does not.
Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.0 Flash
Qwen3 235B A22B
License
Usage and distribution terms
Gemini 2.0 Flash 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 2.0 Flash was released on 2024-12-01, while Qwen3 235B A22B was released on 2025-04-29.
Qwen3 235B A22B is 5 months newer than Gemini 2.0 Flash.
Dec 1, 2024
1.5 years ago
Apr 29, 2025
1.1 years ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Qwen3 235B A22B's cutoff date is not specified.
We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen3 235B A22B's cutoff date.
Aug 2024
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Provider Availability
Gemini 2.0 Flash is available from Google. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
Gemini 2.0 Flash
Qwen3 235B A22B
Outputs Comparison
Key Takeaways
Qwen3 235B A22B
View detailsAlibaba Cloud / Qwen Team
Gemini 2.0 Flash
Qwen3 235B A22BDetailed Comparison
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FAQ
Common questions about Gemini 2.0 Flash vs Qwen3 235B A22B.