Model Comparison
Gemini 3 Pro vs GLM-5.1Which is better in 2026?
Both models are evenly matched across the benchmarks. GLM-5.1 is 2.1x cheaper per token.
Verdict: Gemini 3 Pro vs GLM-5.1 — which is better?
Gemini 3 Pro (by Google) and GLM-5.1 (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 Pro outperforms in 2 benchmarks (GPQA, LiveBench), while GLM-5.1 is better at 2 benchmarks (Humanity's Last Exam, Terminal-Bench 2.0). Both models are evenly matched across the benchmarks.
On price, GLM-5.1 is roughly 2.1x 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 process long inputs — it offers a 1,048,576 token context window
Choose GLM-5.1 if…
- you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
- cost matters — it's about 2.1x cheaper per token
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro outperforms in 2 benchmarks (GPQA, LiveBench), while GLM-5.1 is better at 2 benchmarks (Humanity's Last Exam, Terminal-Bench 2.0).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 1.4x more expensive than GLM-5.1 ($1.40/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 2.7x more expensive than GLM-5.1 ($4.40/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than GLM-5.1.*
* 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 GLM-5.1's 200,000 tokens. GLM-5.1 can generate longer responses up to 128,000 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 GLM-5.1 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
GLM-5.1
License
Usage and distribution terms
Gemini 3 Pro is licensed under a proprietary license, while GLM-5.1 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 Pro was released on 2025-11-18, while GLM-5.1 was released on 2026-04-07.
GLM-5.1 is 5 months newer than Gemini 3 Pro.
Nov 18, 2025
8 months ago
Apr 7, 2026
3 months ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-5.1'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 GLM-5.1's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. GLM-5.1 is available from FriendliAI, ZAI.
Gemini 3 Pro
GLM-5.1
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsGLM-5.1
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3 Pro and GLM-5.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3 Pro vs GLM-5.1.