The AI arena is free today

Open Superagent

Gemma 3 4B vs GLM-5.3-Flash

Comparing Gemma 3 4B and GLM-5.3-Flash across benchmarks, pricing, and capabilities.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemma 3 4B and GLM-5.3-Flash trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Gemma 3 4B is roughly 9.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3-Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Gemma 3 4B

  • cost matters — it's about 9.5x cheaper per token

Choose GLM-5.3-Flash

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Gemma 3 4B
Google
GLM-5.3-Flash
Zhipu AI
Benchmark wins
—
—
Input price
$0.02 / M
$0.15 / M
Output price
$0.04 / M
$0.50 / M
Context window
131,072
1,000,000
Released
Mar 2025
Aug 2026
License
Gemma
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3 4B 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

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemma 3 4B ($0.02/1M tokens) is 7.5x cheaper than GLM-5.3-Flash ($0.15/1M tokens).

For output processing, Gemma 3 4B ($0.04/1M tokens) is 12.5x cheaper than GLM-5.3-Flash ($0.50/1M tokens).

In conclusion, GLM-5.3-Flash is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers
Wed Aug 26 2026 • llm-stats.com
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

316.0B diff

GLM-5.3-Flash has 316.0B more parameters than Gemma 3 4B, making it 7900.0% larger.

Google
Gemma 3 4B
4.0Bparameters
Zhipu AI
GLM-5.3-Flash
320.0Bparameters
4.0B
Gemma 3 4B
320.0B
GLM-5.3-Flash

Context Window

Maximum input and output token capacity

GLM-5.3-Flash accepts 1,000,000 input tokens compared to Gemma 3 4B's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 4B and GLM-5.3-Flash support multimodal inputs.

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

Gemma 3 4B

Text
Images
Audio
Video

GLM-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B 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 3 4B

Gemma

Open weights

GLM-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while GLM-5.3-Flash was released on 2026-08-26.

GLM-5.3-Flash is 18 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.5 years ago

GLM-5.3-Flash

Aug 26, 2026

0 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while GLM-5.3-Flash's cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without GLM-5.3-Flash's cutoff date.

Gemma 3 4B

Aug 2024

GLM-5.3-Flash

—

Provider Availability

Gemma 3 4B is available from DeepInfra. GLM-5.3-Flash is available from ZAI.

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M

GLM-5.3-Flash

z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3 4B and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

Gemma 3 4B
✓ Preferred
GLM-5.3-Flash
Open in Playground

FAQ

Common questions about Gemma 3 4B vs GLM-5.3-Flash.

Which is better, Gemma 3 4B or GLM-5.3-Flash?

Gemma 3 4B (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 3 4B compare to GLM-5.3-Flash in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, MVBench: 77.8%.

Is Gemma 3 4B cheaper than GLM-5.3-Flash?

Gemma 3 4B is 7.5x cheaper for input tokens. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via z.

What are the context window sizes for Gemma 3 4B and GLM-5.3-Flash?

Gemma 3 4B supports 131K 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 3 4B and GLM-5.3-Flash?

Key differences include context window (131K vs 1.0M), input pricing ($0.02 vs $0.15/M), licensing (Gemma vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 4B and GLM-5.3-Flash?

Gemma 3 4B is developed by Google and GLM-5.3-Flash is developed by Zhipu AI.

Related comparisons