Model Comparison

GLM-5 vs Granite 3.3 8B BaseWhich is better in 2026?

Comparing GLM-5 and Granite 3.3 8B Base across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Granite 3.3 8B Base — which is better?

GLM-5 (by Zhipu AI) and Granite 3.3 8B Base (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 Granite 3.3 8B Base if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Granite 3.3 8B Base 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

735.8B diff

GLM-5 has 735.8B more parameters than Granite 3.3 8B Base, making it 9006.5% larger.

Zhipu AI
GLM-5
744.0Bparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
744.0B
GLM-5
8.2B
Granite 3.3 8B Base

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
Granite 3.3 8B Base
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Base supports multimodal inputs, whereas GLM-5 does not.

Granite 3.3 8B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Granite 3.3 8B Base 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

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Granite 3.3 8B Base was released on 2025-04-16.

GLM-5 is 10 months newer than Granite 3.3 8B Base.

GLM-5

Feb 11, 2026

3 months ago

10mo newer
Granite 3.3 8B Base

Apr 16, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while GLM-5's cutoff date is not specified.

We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
IBM
Granite 3.3 8B Base

FAQ

Common questions about GLM-5 vs Granite 3.3 8B Base.

Which is better, GLM-5 or Granite 3.3 8B Base?

GLM-5 (Zhipu AI) and Granite 3.3 8B Base (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 Granite 3.3 8B Base 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%. Granite 3.3 8B Base scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, HellaSwag: 80.1%.

What are the context window sizes for GLM-5 and Granite 3.3 8B Base?

GLM-5 supports 200K tokens and Granite 3.3 8B Base 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 Granite 3.3 8B Base?

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 Granite 3.3 8B Base?

GLM-5 is developed by Zhipu AI and Granite 3.3 8B Base is developed by IBM.

Related comparisons