Model Comparison
GLM-5 vs Gemini 2.5 Pro Preview 06-05Which is better in 2026?
GLM-5 significantly outperforms across most benchmarks. GLM-5 is 2.2x cheaper per token.
Verdict: GLM-5 vs Gemini 2.5 Pro Preview 06-05 — which is better?
GLM-5 (by Zhipu AI) and Gemini 2.5 Pro Preview 06-05 (by Google) 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.
GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Gemini 2.5 Pro Preview 06-05 is better at 0 benchmarks. 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 Preview 06-05 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
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
Choose Gemini 2.5 Pro Preview 06-05 if…
- you process long inputs — it offers a 1,048,576 token context window
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Gemini 2.5 Pro Preview 06-05 is better at 0 benchmarks.
GLM-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5 ($1.00/1M tokens) is 1.3x cheaper than Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 3.1x cheaper than Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens).
In conclusion, Gemini 2.5 Pro Preview 06-05 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 Preview 06-05 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 Preview 06-05 is limited to 65,535 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas GLM-5 does not.
Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5
Gemini 2.5 Pro Preview 06-05
License
Usage and distribution terms
GLM-5 is licensed under MIT, while Gemini 2.5 Pro Preview 06-05 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05.
GLM-5 is 8 months newer than Gemini 2.5 Pro Preview 06-05.
Feb 11, 2026
4 months ago
8mo newerJun 5, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
Gemini 2.5 Pro Preview 06-05 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 Preview 06-05's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-5's cutoff date.
—
Jan 2025
Provider Availability
GLM-5 is available from FriendliAI, ZAI. Gemini 2.5 Pro Preview 06-05 is available from Google.
GLM-5
Gemini 2.5 Pro Preview 06-05
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about GLM-5 vs Gemini 2.5 Pro Preview 06-05.