Model Comparison
Gemini 3 Pro vs GLM-5V-TurboWhich is better in 2026?
Gemini 3 Pro significantly outperforms across most benchmarks. GLM-5V-Turbo is 2.4x cheaper per token.
Verdict: Gemini 3 Pro vs GLM-5V-Turbo — which is better?
Gemini 3 Pro (by Google) and GLM-5V-Turbo (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 1 benchmarks (FACTS Grounding), while GLM-5V-Turbo is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.
On price, GLM-5V-Turbo is roughly 2.4x 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.
Choose Gemini 3 Pro if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
Choose GLM-5V-Turbo if…
- cost matters — it's about 2.4x cheaper per token
- you want the most recent training data — it shipped Apr 2026
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro outperforms in 1 benchmarks (FACTS Grounding), while GLM-5V-Turbo is better at 0 benchmarks.
Gemini 3 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 1.7x more expensive than GLM-5V-Turbo ($1.20/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 3.0x more expensive than GLM-5V-Turbo ($4.00/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than GLM-5V-Turbo.*
* 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-5V-Turbo's 200,000 tokens. GLM-5V-Turbo 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
Both Gemini 3 Pro and GLM-5V-Turbo support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Pro
GLM-5V-Turbo
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 3 Pro was released on 2025-11-18, while GLM-5V-Turbo was released on 2026-04-02.
GLM-5V-Turbo is 5 months newer than Gemini 3 Pro.
Nov 18, 2025
7 months ago
Apr 2, 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-5V-Turbo'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-5V-Turbo's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. GLM-5V-Turbo is available from ZAI.
Gemini 3 Pro
GLM-5V-Turbo
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsGLM-5V-Turbo
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3 Pro and GLM-5V-Turbo side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3 Pro vs GLM-5V-Turbo.