Model Comparison

GLM-5 vs Gemma 2 27BWhich is better in 2026?

Comparing GLM-5 and Gemma 2 27B across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Gemma 2 27B — which is better?

GLM-5 (by Zhipu AI) and Gemma 2 27B (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 the most recent training data — it shipped Feb 2026

Choose Gemma 2 27B if…

  • you are already invested in the Google ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Gemma 2 27B 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

716.8B diff

GLM-5 has 716.8B more parameters than Gemma 2 27B, making it 2635.3% larger.

Zhipu AI
GLM-5
744.0Bparameters
Google
Gemma 2 27B
27.2Bparameters
744.0B
GLM-5
27.2B
Gemma 2 27B

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 2 27B
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Gemma 2 27B uses Gemma.

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

GLM-5

MIT

Open weights

Gemma 2 27B

Gemma

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Gemma 2 27B was released on 2024-06-27.

GLM-5 is 20 months newer than Gemma 2 27B.

GLM-5

Feb 11, 2026

3 months ago

1.6yr newer
Gemma 2 27B

Jun 27, 2024

1.9 years ago

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→

Key Takeaways

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

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Google
Gemma 2 27B

FAQ

Common questions about GLM-5 vs Gemma 2 27B.

Which is better, GLM-5 or Gemma 2 27B?

GLM-5 (Zhipu AI) and Gemma 2 27B (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 2 27B 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 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%.

What are the context window sizes for GLM-5 and Gemma 2 27B?

GLM-5 supports 200K tokens and Gemma 2 27B 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 2 27B?

Key differences include licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Gemma 2 27B?

GLM-5 is developed by Zhipu AI and Gemma 2 27B is developed by Google.

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