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Gemma 2 9B vs GLM-5.3-Flash

Comparing Gemma 2 9B and GLM-5.3-Flash across benchmarks, pricing, and capabilities.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemma 2 9B and GLM-5.3-Flash trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 2 9B

  • you are already invested in the Google ecosystem

Choose GLM-5.3-Flash

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Gemma 2 9B
Google
GLM-5.3-Flash
Zhipu AI
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.50 / M
Context window
—
1,048,576
Released
Jun 2024
Aug 2026
License
Gemma
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 9B and GLM-5.3-Flashdon'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

Model Size

Parameter count comparison

310.8B diff

GLM-5.3-Flash has 310.8B more parameters than Gemma 2 9B, making it 3363.2% larger.

Google
Gemma 2 9B
9.2Bparameters
Zhipu AI
GLM-5.3-Flash
320.0Bparameters
9.2B
Gemma 2 9B
320.0B
GLM-5.3-Flash

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,048,576 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5.3-Flash supports multimodal inputs, whereas Gemma 2 9B does not.

GLM-5.3-Flash 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-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while GLM-5.3-Flash 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-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while GLM-5.3-Flash was released on 2026-08-26.

GLM-5.3-Flash is 26 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

GLM-5.3-Flash

Aug 26, 2026

0 days ago

2.2yr 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 2 9B and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
GLM-5.3-Flash
Open in Playground

FAQ

Common questions about Gemma 2 9B vs GLM-5.3-Flash.

Which is better, Gemma 2 9B or GLM-5.3-Flash?

Gemma 2 9B (Google) and GLM-5.3-Flash (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-5.3-Flash in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%.

What are the context window sizes for Gemma 2 9B and GLM-5.3-Flash?

Gemma 2 9B supports an unknown number of tokens and GLM-5.3-Flash supports 1.0M 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-5.3-Flash?

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-5.3-Flash?

Gemma 2 9B is developed by Google and GLM-5.3-Flash is developed by Zhipu AI.

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