Model Comparison

Gemma 2 27B vs GLM-4.5VWhich is better in 2026?

Comparing Gemma 2 27B and GLM-4.5V across benchmarks, pricing, and capabilities.

Verdict: Gemma 2 27B vs GLM-4.5V — which is better?

Gemma 2 27B (by Google) and GLM-4.5V (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.

Choose Gemma 2 27B if…

  • you are already invested in the Google ecosystem

Choose GLM-4.5V if…

  • you want the most recent training data — it shipped Aug 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 27B and GLM-4.5Vdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

80.8B diff

GLM-4.5V has 80.8B more parameters than Gemma 2 27B, making it 297.1% larger.

Google
Gemma 2 27B
27.2Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
27.2B
Gemma 2 27B
108.0B
GLM-4.5V

Context Window

Maximum input and output token capacity

Only GLM-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas Gemma 2 27B does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 27B

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while GLM-4.5V uses MIT.

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

Gemma 2 27B

Gemma

Open weights

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 14 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.0 years ago

GLM-4.5V

Aug 11, 2025

10 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Zhipu AI
Larger context window (131,072 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 27B
Zhipu AI
GLM-4.5V

FAQ

Common questions about Gemma 2 27B vs GLM-4.5V.

Which is better, Gemma 2 27B or GLM-4.5V?

Gemma 2 27B (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.

How does Gemma 2 27B compare to GLM-4.5V in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%.

What are the context window sizes for Gemma 2 27B and GLM-4.5V?

Gemma 2 27B supports an unknown number of tokens and GLM-4.5V supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 2 27B and GLM-4.5V?

Key differences include multimodal support (no vs yes), licensing (Gemma vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and GLM-4.5V?

Gemma 2 27B is developed by Google and GLM-4.5V is developed by Zhipu AI.

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