Model Comparison
Gemma 3n E4B Instructed vs GLM-4.5Which is better in 2026?
GLM-4.5 significantly outperforms across most benchmarks. GLM-4.5 is 35.7x cheaper per token.
Verdict: Gemma 3n E4B Instructed vs GLM-4.5 — which is better?
Gemma 3n E4B Instructed (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.
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while GLM-4.5 is better at 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro). GLM-4.5 significantly outperforms across most benchmarks.
On price, GLM-4.5 is roughly 35.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-4.5 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 3n E4B Instructed if…
- you want predictable pricing at $20.00/M input and $40.00/M output
Choose GLM-4.5 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- cost matters — it's about 35.7x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- 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
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while GLM-4.5 is better at 3 benchmarks (GPQA, LiveCodeBench, 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, Gemma 3n E4B Instructed ($20.00/1M tokens) is 50.0x more expensive than GLM-4.5 ($0.40/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 25.0x more expensive than GLM-4.5 ($1.60/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than GLM-4.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-4.5 has 347.0B more parameters than Gemma 3n E4B Instructed, making it 4337.5% larger.
Context Window
Maximum input and output token capacity
GLM-4.5 accepts 131,072 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3n E4B Instructed supports multimodal inputs, whereas GLM-4.5 does not.
Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3n E4B Instructed
GLM-4.5
License
Usage and distribution terms
Gemma 3n E4B Instructed 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
Gemma 3n E4B Instructed was released on 2025-06-26, while GLM-4.5 was released on 2025-07-28.
GLM-4.5 is 1 month newer than Gemma 3n E4B Instructed.
Jun 26, 2025
11 months ago
Jul 28, 2025
10 months ago
1mo newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while GLM-4.5's cutoff date is not specified.
We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without GLM-4.5's cutoff date.
Jun 2024
—
Provider Availability
Gemma 3n E4B Instructed is available from Together. GLM-4.5 is available from DeepInfra, Fireworks, Novita.
Gemma 3n E4B Instructed
GLM-4.5
Outputs Comparison
Key Takeaways
GLM-4.5
View detailsZhipu AI
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about Gemma 3n E4B Instructed vs GLM-4.5.