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GLM-5.3 vs Granite 3.3 8B Base

Comparing GLM-5.3 and Granite 3.3 8B Base across benchmarks, pricing, and capabilities.

Zhipu AI · IBM · Updated for 2026

Which is better?

GLM-5.3 and Granite 3.3 8B Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you want the most recent training data — it shipped Aug 2026

Choose Granite 3.3 8B Base

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
Released
Aug 2026
Apr 2025
License
Unknown
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Granite 3.3 8B Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

744.8B diff

GLM-5.3 has 744.8B more parameters than Granite 3.3 8B Base, making it 9116.6% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
753.0B
GLM-5.3
8.2B
Granite 3.3 8B Base

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Base supports multimodal inputs, whereas GLM-5.3 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-5.3

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Granite 3.3 8B Base was released on 2025-04-16.

GLM-5.3 is 16 months newer than Granite 3.3 8B Base.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.3yr newer
Granite 3.3 8B Base

Apr 16, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while GLM-5.3'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-5.3's cutoff date.

GLM-5.3

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GLM-5.3 and Granite 3.3 8B Base side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Granite 3.3 8B Base
Open in Playground

FAQ

Common questions about GLM-5.3 vs Granite 3.3 8B Base.

Which is better, GLM-5.3 or Granite 3.3 8B Base?

GLM-5.3 (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-5.3 compare to Granite 3.3 8B Base in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. 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-5.3 and Granite 3.3 8B Base?

GLM-5.3 supports 1.0M 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-5.3 and Granite 3.3 8B Base?

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

Who makes GLM-5.3 and Granite 3.3 8B Base?

GLM-5.3 is developed by Zhipu AI and Granite 3.3 8B Base is developed by IBM.