Model Comparison

Gemma 3n E4B Instructed vs GLM-4.5V

Comparing Gemma 3n E4B Instructed and GLM-4.5V across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B Instructed and GLM-4.5V don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.5V costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 36.4x more expensive than GLM-4.5V ($0.55/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 18.3x more expensive than GLM-4.5V ($2.19/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than GLM-4.5V.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Apr 19 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

100.0B diff

GLM-4.5V has 100.0B more parameters than Gemma 3n E4B Instructed, making it 1250.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
8.0B
Gemma 3n E4B Instructed
108.0B
GLM-4.5V

Context Window

Maximum input and output token capacity

GLM-4.5V accepts 131,072 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Sun Apr 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B Instructed and GLM-4.5V support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E4B Instructed

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while GLM-4.5V uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E4B Instructed

Proprietary

Closed source

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 2 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

GLM-4.5V

Aug 11, 2025

8 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while GLM-4.5V'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-4.5V's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

GLM-4.5V

—

Provider Availability

Gemma 3n E4B Instructed is available from Together. GLM-4.5V is available from Fireworks, Novita.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

GLM-4.5V

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Zhipu AI
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
Zhipu AI
GLM-4.5V

FAQ

Common questions about Gemma 3n E4B Instructed vs GLM-4.5V

Gemma 3n E4B Instructed (Google) and GLM-4.5V (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.
GLM-4.5V is 36.4x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks.
Gemma 3n E4B Instructed supports 32K tokens and GLM-4.5V supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (32K vs 131K), input pricing ($20.00 vs $0.55/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B Instructed is developed by Google and GLM-4.5V is developed by Zhipu AI.