Model Comparison

GLM-5 vs Gemma 4 12B UnifiedWhich is better in 2026?

Comparing GLM-5 and Gemma 4 12B Unified across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Gemma 4 12B Unified — which is better?

GLM-5 (by Zhipu AI) and Gemma 4 12B Unified (by Google) 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 GLM-5 if…

  • you want predictable pricing at $1.00/M input and $3.20/M output

Choose Gemma 4 12B Unified if…

  • you want the most recent training data — it shipped May 2026
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Gemma 4 12B Unified don'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

732.0B diff

GLM-5 has 732.0B more parameters than Gemma 4 12B Unified, making it 6120.9% larger.

Zhipu AI
GLM-5
744.0Bparameters
Google
Gemma 4 12B Unified
12.0Bparameters
744.0B
GLM-5
12.0B
Gemma 4 12B Unified

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Google
Gemma 4 12B Unified
Input- tokens
Output- tokens
Tue Jun 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 4 12B Unified supports multimodal inputs, whereas GLM-5 does not.

Gemma 4 12B Unified can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Gemma 4 12B Unified

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Gemma 4 12B Unified uses Apache 2.0.

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

GLM-5

MIT

Open weights

Gemma 4 12B Unified

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Gemma 4 12B Unified was released on 2026-05-23.

Gemma 4 12B Unified is 3 months newer than GLM-5.

GLM-5

Feb 11, 2026

3 months ago

Gemma 4 12B Unified

May 23, 2026

2 weeks ago

3mo newer

Knowledge Cutoff

When training data ends

Gemma 4 12B Unified has a documented knowledge cutoff of 2025-01-01, while GLM-5's cutoff date is not specified.

We can confirm Gemma 4 12B Unified's training data extends to 2025-01-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Gemma 4 12B Unified

Jan 2025

Outputs Comparison

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Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Google
Gemma 4 12B Unified

FAQ

Common questions about GLM-5 vs Gemma 4 12B Unified.

Which is better, GLM-5 or Gemma 4 12B Unified?

GLM-5 (Zhipu AI) and Gemma 4 12B Unified (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to Gemma 4 12B Unified in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Gemma 4 12B Unified scores MMMLU: 83.4%, MathVision: 79.7%, GPQA: 78.8%, AIME 2026: 77.5%, MMLU-Pro: 77.2%.

What are the context window sizes for GLM-5 and Gemma 4 12B Unified?

GLM-5 supports 200K tokens and Gemma 4 12B Unified supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and Gemma 4 12B Unified?

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

Who makes GLM-5 and Gemma 4 12B Unified?

GLM-5 is developed by Zhipu AI and Gemma 4 12B Unified is developed by Google.

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