Gemini 2.5 Pro Preview 06-05 vs GLM-5
GLM-5 leads the LLM Stats Score 37.1 to 29.9. GLM-5 is 2.2x cheaper per token.
Google · Zhipu AI · Updated for 2026
Which is better?
GLM-5 leads the overall LLM Stats Score 37.1 to 29.9, ranking #69 overall.
In the 1 individual benchmarks reported for both models, GLM-5 wins 1; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 2.5 Pro Preview 06-05
- you process long inputs — it offers a 1,048,576 token context window
Choose GLM-5
- overall performance matters — it scores 37.1 and ranks #69 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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
At a glance
The differences that matter most.
Individual benchmarks
13 reported for Gemini 2.5 Pro Preview 06-05 · 5 for GLM-5
Gemini 2.5 Pro Preview 06-05 outperforms in 0 benchmarks, while GLM-5 is better at 1 benchmark (SWE-Bench Verified).
GLM-5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens) is 1.3x more expensive than GLM-5 ($1.00/1M tokens).
For output processing, Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens) is 3.1x more expensive than GLM-5 ($3.20/1M 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
Documented input modalities across available providers
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.
Gemini 2.5 Pro Preview 06-05
GLM-5
License
Usage and distribution terms
Gemini 2.5 Pro Preview 06-05 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 Preview 06-05 was released on 2025-06-05, while GLM-5 was released on 2026-02-11.
GLM-5 is 8 months newer than Gemini 2.5 Pro Preview 06-05.
Jun 5, 2025
1.3 years ago
Feb 11, 2026
7 months ago
8mo newerKnowledge 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
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Provider Availability
Gemini 2.5 Pro Preview 06-05 is available from Google. GLM-5 is available from FriendliAI, ZAI.
Gemini 2.5 Pro Preview 06-05
GLM-5
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Pro Preview 06-05 and GLM-5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Pro Preview 06-05 vs GLM-5.