Model Comparison

GLM-5 vs IBM Granite 4.0 Tiny PreviewWhich is better in 2026?

Comparing GLM-5 and IBM Granite 4.0 Tiny Preview across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs IBM Granite 4.0 Tiny Preview — which is better?

GLM-5 (by Zhipu AI) and IBM Granite 4.0 Tiny Preview (by IBM) 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 IBM Granite 4.0 Tiny Preview if…

  • you are already invested in the IBM ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and IBM Granite 4.0 Tiny Previewdon'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

737.0B diff

GLM-5 has 737.0B more parameters than IBM Granite 4.0 Tiny Preview, making it 10528.6% larger.

Zhipu AI
GLM-5
744.0Bparameters
IBM
IBM Granite 4.0 Tiny Preview
7.0Bparameters
744.0B
GLM-5
7.0B
IBM Granite 4.0 Tiny Preview

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
IBM
IBM Granite 4.0 Tiny Preview
Input- tokens
Output- tokens
Tue Jun 09 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while IBM Granite 4.0 Tiny Preview 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

IBM Granite 4.0 Tiny Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

GLM-5 is 10 months newer than IBM Granite 4.0 Tiny Preview.

GLM-5

Feb 11, 2026

3 months ago

9mo newer
IBM Granite 4.0 Tiny Preview

May 2, 2025

1.1 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

Larger context window (200,000 tokens)

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

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
IBM
IBM Granite 4.0 Tiny Preview

FAQ

Common questions about GLM-5 vs IBM Granite 4.0 Tiny Preview.

Which is better, GLM-5 or IBM Granite 4.0 Tiny Preview?

GLM-5 (Zhipu AI) and IBM Granite 4.0 Tiny Preview (IBM) 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 IBM Granite 4.0 Tiny Preview 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%. IBM Granite 4.0 Tiny Preview scores AttaQ: 86.1%, HumanEval: 82.4%, HumanEval+: 78.3%, GSM8k: 70.1%, IFEval: 63.0%.

What are the context window sizes for GLM-5 and IBM Granite 4.0 Tiny Preview?

GLM-5 supports 200K tokens and IBM Granite 4.0 Tiny Preview 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 IBM Granite 4.0 Tiny Preview?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and IBM Granite 4.0 Tiny Preview?

GLM-5 is developed by Zhipu AI and IBM Granite 4.0 Tiny Preview is developed by IBM.