Model Comparison
Gemini 2.5 Pro vs GLM-5Which is better in 2026?
GLM-5 significantly outperforms across most benchmarks. GLM-5 is 2.2x cheaper per token.
Verdict: Gemini 2.5 Pro vs GLM-5 — which is better?
Gemini 2.5 Pro (by Google) and GLM-5 (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 2.5 Pro outperforms in 0 benchmarks, while GLM-5 is better at 1 benchmark (SWE-Bench Verified). GLM-5 significantly outperforms across most benchmarks.
On price, GLM-5 is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 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 2.5 Pro if…
- you process long inputs — it offers a 1,048,576 token context window
Choose GLM-5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 2.2x cheaper per token
- you want the most recent training data — it shipped Feb 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Pro outperforms in 0 benchmarks, while GLM-5 is better at 1 benchmark (SWE-Bench Verified).
GLM-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 1.3x more expensive than GLM-5 ($1.00/1M tokens).
For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 3.1x more expensive than GLM-5 ($3.20/1M tokens).
In conclusion, Gemini 2.5 Pro is more expensive than GLM-5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Pro accepts 1,048,576 input tokens compared to GLM-5's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Gemini 2.5 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Pro supports multimodal inputs, whereas GLM-5 does not.
Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.5 Pro
GLM-5
License
Usage and distribution terms
Gemini 2.5 Pro is licensed under a proprietary license, while GLM-5 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 2.5 Pro was released on 2025-05-20, while GLM-5 was released on 2026-02-11.
GLM-5 is 9 months newer than Gemini 2.5 Pro.
May 20, 2025
1.2 years ago
Feb 11, 2026
5 months ago
8mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-5's cutoff date is not specified.
We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-5's cutoff date.
Jan 2025
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Provider Availability
Gemini 2.5 Pro is available from Google. GLM-5 is available from FriendliAI, ZAI.
Gemini 2.5 Pro
GLM-5
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Gemini 2.5 ProGLM-5Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 2.5 Pro and GLM-5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 2.5 Pro vs GLM-5.