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GLM-5.3-Flash vs IBM Granite 4.0 Tiny Preview

Comparing GLM-5.3-Flash and IBM Granite 4.0 Tiny Preview across benchmarks, pricing, and capabilities.

Zhipu AI · IBM · Updated for 2026

Which is better?

GLM-5.3-Flash and IBM Granite 4.0 Tiny Preview 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 IBM Granite 4.0 Tiny Preview

  • you are already invested in the IBM ecosystem

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
IBM Granite 4.0 Tiny Preview
IBM
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
May 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3-Flash 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

Playground indexes and blind preference scores

Model Size

Parameter count comparison

313.0B diff

GLM-5.3-Flash has 313.0B more parameters than IBM Granite 4.0 Tiny Preview, making it 4471.4% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
IBM
IBM Granite 4.0 Tiny Preview
7.0Bparameters
320.0B
GLM-5.3-Flash
7.0B
IBM Granite 4.0 Tiny Preview

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
IBM Granite 4.0 Tiny Preview
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5.3-Flash supports multimodal inputs, whereas IBM Granite 4.0 Tiny Preview does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3-Flash

Text
Images
Audio
Video

IBM Granite 4.0 Tiny Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash 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-5.3-Flash

MIT

Open weights

IBM Granite 4.0 Tiny Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

GLM-5.3-Flash is 16 months newer than IBM Granite 4.0 Tiny Preview.

GLM-5.3-Flash

Aug 26, 2026

0 days ago

1.3yr newer
IBM Granite 4.0 Tiny Preview

May 2, 2025

1.3 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→

Judge for yourself.

Run your own prompts against GLM-5.3-Flash and IBM Granite 4.0 Tiny Preview side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
IBM Granite 4.0 Tiny Preview
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs IBM Granite 4.0 Tiny Preview.

Which is better, GLM-5.3-Flash or IBM Granite 4.0 Tiny Preview?

GLM-5.3-Flash (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-5.3-Flash compare to IBM Granite 4.0 Tiny Preview 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%. 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-5.3-Flash and IBM Granite 4.0 Tiny Preview?

GLM-5.3-Flash supports 1.0M 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-5.3-Flash and IBM Granite 4.0 Tiny Preview?

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

Who makes GLM-5.3-Flash and IBM Granite 4.0 Tiny Preview?

GLM-5.3-Flash is developed by Zhipu AI and IBM Granite 4.0 Tiny Preview is developed by IBM.

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