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Gemma 3 1B vs GLM-4.5V

Comparing Gemma 3 1B and GLM-4.5V across benchmarks, pricing, and capabilities.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemma 3 1B and GLM-4.5V trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3 1B

  • you are already invested in the Google ecosystem

Choose GLM-4.5V

  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Gemma 3 1B
Google
GLM-4.5V
Zhipu AI
Benchmark wins
—
—
Input price
— / M
$0.55 / M
Output price
— / M
$2.19 / M
Context window
—
131,072

Individual benchmarks

18 reported for Gemma 3 1B · 0 for GLM-4.5V

No common benchmarks found

Gemma 3 1B and GLM-4.5Vdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

107.0B diff

GLM-4.5V has 107.0B more parameters than Gemma 3 1B, making it 10700.0% larger.

Google
Gemma 3 1B
1.0Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
1.0B
Gemma 3 1B
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 3 1B
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-4.5V supports multimodal inputs, whereas Gemma 3 1B does not.

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

Gemma 3 1B

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 1B 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 3 1B

Gemma

Open weights

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3 1B was released on 2025-03-12, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 5 months newer than Gemma 3 1B.

Gemma 3 1B

Mar 12, 2025

1.5 years ago

GLM-4.5V

Aug 11, 2025

1.1 years ago

5mo 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→

Judge for yourself.

Run your own prompts against Gemma 3 1B and GLM-4.5V side-by-side, then vote on the output you prefer.

Gemma 3 1B
✓ Preferred
GLM-4.5V
Open in Playground

FAQ

Common questions about Gemma 3 1B vs GLM-4.5V.

Which is better, Gemma 3 1B or GLM-4.5V?

Gemma 3 1B (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 3 1B compare to GLM-4.5V in benchmarks?

Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%.

What are the context window sizes for Gemma 3 1B and GLM-4.5V?

Gemma 3 1B 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 3 1B 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 3 1B and GLM-4.5V?

Gemma 3 1B is developed by Google and GLM-4.5V is developed by Zhipu AI.

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