Model Comparison

Gemma 2 9B vs GLM-4.5VWhich is better in 2026?

Comparing Gemma 2 9B and GLM-4.5V across benchmarks, pricing, and capabilities.

Verdict: Gemma 2 9B vs GLM-4.5V — which is better?

Gemma 2 9B (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 9B 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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 9B 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

98.8B diff

GLM-4.5V has 98.8B more parameters than Gemma 2 9B, making it 1068.8% larger.

Google
Gemma 2 9B
9.2Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
9.2B
Gemma 2 9B
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 9B
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Mon Jul 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas Gemma 2 9B does not.

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

Gemma 2 9B

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B 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 9B

Gemma

Open weights

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Gemma 2 9B 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 9B.

Gemma 2 9B

Jun 27, 2024

2.0 years ago

GLM-4.5V

Aug 11, 2025

11 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

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 2 9B and GLM-4.5V side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
GLM-4.5V
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 2 9B
Zhipu AI
GLM-4.5V

FAQ

Common questions about Gemma 2 9B vs GLM-4.5V.

Which is better, Gemma 2 9B or GLM-4.5V?

Gemma 2 9B (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 9B compare to GLM-4.5V in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%.

What are the context window sizes for Gemma 2 9B and GLM-4.5V?

Gemma 2 9B 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 9B 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 9B and GLM-4.5V?

Gemma 2 9B is developed by Google and GLM-4.5V is developed by Zhipu AI.

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