Gemma 3n E4B Instructed vs GLM-5.3
Comparing Gemma 3n E4B Instructed and GLM-5.3 across benchmarks, pricing, and capabilities.
Google · Zhipu AI · Updated for 2026
Which is better?
Gemma 3n E4B Instructed and GLM-5.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GLM-5.3 is roughly 11.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemma 3n E4B Instructed
- you want predictable pricing at $20.00/M input and $40.00/M output
Choose GLM-5.3
- cost matters — it's about 11.6x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B Instructed and GLM-5.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 14.3x more expensive than GLM-5.3 ($1.40/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 9.1x more expensive than GLM-5.3 ($4.40/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than GLM-5.3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.3 has 745.0B more parameters than Gemma 3n E4B Instructed, making it 9312.5% larger.
Context Window
Maximum input and output token capacity
GLM-5.3 accepts 1,000,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GLM-5.3 can generate longer responses up to 128,000 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-5.3 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-5.3
Release Timeline
When each model was launched
Gemma 3n E4B Instructed was released on 2025-06-26, while GLM-5.3 was released on 2026-08-14.
GLM-5.3 is 14 months newer than Gemma 3n E4B Instructed.
Jun 26, 2025
1.2 years ago
Aug 14, 2026
1 weeks ago
1.1yr newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while GLM-5.3'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-5.3's cutoff date.
Jun 2024
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Provider Availability
Gemma 3n E4B Instructed is available from Together. GLM-5.3 is available from ZAI.
Gemma 3n E4B Instructed
GLM-5.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed and GLM-5.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3n E4B Instructed vs GLM-5.3.