Model Comparison

Gemma 4 E2B vs GLM-5.2Which is better in 2026?

GLM-5.2 significantly outperforms across most benchmarks.

Verdict: Gemma 4 E2B vs GLM-5.2 — which is better?

Gemma 4 E2B (by Google) and GLM-5.2 (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.

Gemma 4 E2B outperforms in 0 benchmarks, while GLM-5.2 is better at 2 benchmarks (AIME 2026, GPQA). GLM-5.2 significantly outperforms across most benchmarks.

Choose Gemma 4 E2B if…

  • you are already invested in the Google ecosystem

Choose GLM-5.2 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jun 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 4 E2B outperforms in 0 benchmarks, while GLM-5.2 is better at 2 benchmarks (AIME 2026, GPQA).

GLM-5.2 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

747.9B diff

GLM-5.2 has 747.9B more parameters than Gemma 4 E2B, making it 14664.7% larger.

Google
Gemma 4 E2B
5.1Bparameters
Zhipu AI
GLM-5.2
753.0Bparameters
5.1B
Gemma 4 E2B
753.0B
GLM-5.2

Context Window

Maximum input and output token capacity

Only GLM-5.2 specifies input context (1,048,576 tokens). Only GLM-5.2 specifies output context (131,072 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
Zhipu AI
GLM-5.2
Input1,048,576 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 4 E2B supports multimodal inputs, whereas GLM-5.2 does not.

Gemma 4 E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 4 E2B

Text
Images
Audio
Video

GLM-5.2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B is licensed under Apache 2.0, while GLM-5.2 uses MIT.

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

Gemma 4 E2B

Apache 2.0

Open weights

GLM-5.2

MIT

Open weights

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while GLM-5.2 was released on 2026-06-16.

GLM-5.2 is 3 months newer than Gemma 4 E2B.

Gemma 4 E2B

Apr 2, 2026

3 months ago

GLM-5.2

Jun 16, 2026

1 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while GLM-5.2's cutoff date is not specified.

We can confirm Gemma 4 E2B's training data extends to 2025-01-01, but cannot make a direct comparison without GLM-5.2's cutoff date.

Gemma 4 E2B

Jan 2025

GLM-5.2

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Zhipu AI
Larger context window (1,048,576 tokens)
Higher AIME 2026 score (99.2% vs 37.5%)
Higher GPQA score (91.2% vs 43.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 E2B and GLM-5.2 side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
GLM-5.2
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 E2B
Zhipu AI
GLM-5.2

FAQ

Common questions about Gemma 4 E2B vs GLM-5.2.

Which is better, Gemma 4 E2B or GLM-5.2?

GLM-5.2 significantly outperforms across most benchmarks. Gemma 4 E2B is made by Google and GLM-5.2 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 4 E2B compare to GLM-5.2 in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. GLM-5.2 scores AIME 2026: 99.2%, HMMT 2025: 94.4%, HMMT Feb 26: 92.5%, GPQA: 91.2%, IMO-AnswerBench: 91.0%.

What are the context window sizes for Gemma 4 E2B and GLM-5.2?

Gemma 4 E2B supports an unknown number of tokens and GLM-5.2 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 4 E2B and GLM-5.2?

Key differences include multimodal support (yes vs no), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and GLM-5.2?

Gemma 4 E2B is developed by Google and GLM-5.2 is developed by Zhipu AI.

Related comparisons