Model Comparison
Gemini 3 Flash vs GLM-5.2Which is better in 2026?
GLM-5.2 shows notably better performance in the majority of benchmarks. Gemini 3 Flash is 1.3x cheaper per token.
Verdict: Gemini 3 Flash vs GLM-5.2 — which is better?
Gemini 3 Flash (by Google) and GLM-5.2 (by Zhipu AI) 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 Flash outperforms in 1 benchmarks (Toolathlon), while GLM-5.2 is better at 3 benchmarks (GPQA, Humanity's Last Exam, MCP Atlas). GLM-5.2 shows notably better performance in the majority of benchmarks.
On price, Gemini 3 Flash is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.2 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 Flash if…
- cost matters — it's about 1.3x cheaper per token
Choose GLM-5.2 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
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Flash outperforms in 1 benchmarks (Toolathlon), while GLM-5.2 is better at 3 benchmarks (GPQA, Humanity's Last Exam, MCP Atlas).
GLM-5.2 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 3 Flash ($0.50/1M tokens) is 1.9x cheaper than GLM-5.2 ($0.95/1M tokens).
For output processing, Gemini 3 Flash ($3.00/1M tokens) costs the same as GLM-5.2 ($3.00/1M tokens).
In conclusion, GLM-5.2 is more expensive than Gemini 3 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.2 accepts 1,048,576 input tokens compared to Gemini 3 Flash's 1,000,000 tokens. GLM-5.2 can generate longer responses up to 131,072 tokens, while Gemini 3 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3 Flash supports multimodal inputs, whereas GLM-5.2 does not.
Gemini 3 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3 Flash
GLM-5.2
License
Usage and distribution terms
Gemini 3 Flash is licensed under a proprietary license, while GLM-5.2 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3 Flash was released on 2025-12-17, while GLM-5.2 was released on 2026-06-16.
GLM-5.2 is 6 months newer than Gemini 3 Flash.
Dec 17, 2025
7 months ago
Jun 16, 2026
1 months ago
6mo newerKnowledge Cutoff
When training data ends
Gemini 3 Flash has a documented knowledge cutoff of 2025-01-31, while GLM-5.2's cutoff date is not specified.
We can confirm Gemini 3 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-5.2's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Flash is available from Google. GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.
Gemini 3 Flash
GLM-5.2
Outputs Comparison
Key Takeaways
GLM-5.2
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3 Flash and GLM-5.2 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3 Flash vs GLM-5.2.