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GLM-5.3-Flash vs Granite 3.3 8B Base

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

Zhipu AI · IBM · Updated for 2026

Which is better?

GLM-5.3-Flash 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-Flash

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

Choose Granite 3.3 8B Base

  • you are already invested in the IBM ecosystem

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
Granite 3.3 8B Base
IBM
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Apr 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3-Flash 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

311.8B diff

GLM-5.3-Flash has 311.8B more parameters than Granite 3.3 8B Base, making it 3816.8% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
320.0B
GLM-5.3-Flash
8.2B
Granite 3.3 8B Base

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,000,000 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-5.3-Flash and Granite 3.3 8B Base support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-Flash

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash 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-5.3-Flash

MIT

Open weights

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while Granite 3.3 8B Base was released on 2025-04-16.

GLM-5.3-Flash is 17 months newer than Granite 3.3 8B Base.

GLM-5.3-Flash

Aug 26, 2026

0 days ago

1.4yr 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-Flash'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-Flash's cutoff date.

GLM-5.3-Flash

—

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-Flash and Granite 3.3 8B Base side-by-side, then vote on the output you prefer.

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

FAQ

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

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

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

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, MVBench: 77.8%. 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-Flash and Granite 3.3 8B Base?

GLM-5.3-Flash 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-Flash and Granite 3.3 8B Base?

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

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

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

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