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GLM-5.3 vs IBM Granite 4.0 Tiny Preview

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

Zhipu AI · IBM · Updated for 2026

Which is better?

GLM-5.3 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

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

Choose IBM Granite 4.0 Tiny Preview

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

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
IBM Granite 4.0 Tiny Preview
IBM
Benchmark wins
—
—
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
May 2025
License
Unknown
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 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

746.0B diff

GLM-5.3 has 746.0B more parameters than IBM Granite 4.0 Tiny Preview, making it 10657.1% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
IBM
IBM Granite 4.0 Tiny Preview
7.0Bparameters
753.0B
GLM-5.3
7.0B
IBM Granite 4.0 Tiny Preview

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
IBM Granite 4.0 Tiny Preview
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

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

GLM-5.3

Aug 14, 2026

1 weeks 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 and IBM Granite 4.0 Tiny Preview side-by-side, then vote on the output you prefer.

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

FAQ

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

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

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

GLM-5.3 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 and IBM Granite 4.0 Tiny Preview?

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

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

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

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