Model Comparison
Gemini 1.5 Pro vs GLM-4.5Which is better in 2026?
GLM-4.5 significantly outperforms across most benchmarks. GLM-4.5 is 6.2x cheaper per token.
Verdict: Gemini 1.5 Pro vs GLM-4.5 — which is better?
Gemini 1.5 Pro (by Google) and GLM-4.5 (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 1.5 Pro outperforms in 0 benchmarks, while GLM-4.5 is better at 2 benchmarks (GPQA, MMLU-Pro). GLM-4.5 significantly outperforms across most benchmarks.
On price, GLM-4.5 is roughly 6.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 1.5 Pro if…
- you process long inputs — it offers a 2,097,152 token context window
Choose GLM-4.5 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 6.2x cheaper per token
- you want the most recent training data — it shipped Jul 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Pro outperforms in 0 benchmarks, while GLM-4.5 is better at 2 benchmarks (GPQA, MMLU-Pro).
GLM-4.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 6.3x more expensive than GLM-4.5 ($0.40/1M tokens).
For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 6.3x more expensive than GLM-4.5 ($1.60/1M tokens).
In conclusion, Gemini 1.5 Pro is more expensive than GLM-4.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Pro accepts 2,097,152 input tokens compared to GLM-4.5's 131,072 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Pro supports multimodal inputs, whereas GLM-4.5 does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Pro
GLM-4.5
License
Usage and distribution terms
Gemini 1.5 Pro is licensed under a proprietary license, while GLM-4.5 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 1.5 Pro was released on 2024-05-01, while GLM-4.5 was released on 2025-07-28.
GLM-4.5 is 15 months newer than Gemini 1.5 Pro.
May 1, 2024
2.1 years ago
Jul 28, 2025
10 months ago
1.2yr newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while GLM-4.5's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without GLM-4.5's cutoff date.
Nov 2023
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Provider Availability
Gemini 1.5 Pro is available from Google. GLM-4.5 is available from DeepInfra, Fireworks, Novita.
Gemini 1.5 Pro
GLM-4.5
Outputs Comparison
Key Takeaways
GLM-4.5
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about Gemini 1.5 Pro vs GLM-4.5.