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GLM-4.5 vs IBM Granite 4.0 Tiny Preview

GLM-4.5 leads the LLM Stats Score 28.0 to -5.3.

Zhipu AI · IBM · Updated for 2026

Which is better?

GLM-4.5 leads the overall LLM Stats Score 28.0 to -5.3, ranking #128 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-4.5

  • overall performance matters — it scores 28.0 and ranks #128 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jul 2025

Choose IBM Granite 4.0 Tiny Preview

  • you are already invested in the IBM ecosystem

At a glance

The differences that matter most.

GLM-4.5
Zhipu AI
IBM Granite 4.0 Tiny Preview
IBM
Core performance indexes
LLM Stats Score
28.0
#128
-5.3
#346
Reasoning
27.4
#128
-5.3
#335
Coding
16.3
#119
3.0
#212
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
— / M
Output price
$1.60 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GLM-4.5
IBM Granite 4.0 Tiny Preview
Math
27.0#95
-5.4#309
Finance
31.4#15
-3.3#198
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5 · 12 for IBM Granite 4.0 Tiny Preview

No common benchmarks found

GLM-4.5 and IBM Granite 4.0 Tiny Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

348.0B diff

GLM-4.5 has 348.0B more parameters than IBM Granite 4.0 Tiny Preview, making it 4971.4% larger.

Zhipu AI
GLM-4.5
355.0Bparameters
IBM
IBM Granite 4.0 Tiny Preview
7.0Bparameters
355.0B
GLM-4.5
7.0B
IBM Granite 4.0 Tiny Preview

Context Window

Maximum input and output token capacity

Only GLM-4.5 specifies input context (131,072 tokens). Only GLM-4.5 specifies output context (131,072 tokens).

Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
IBM
IBM Granite 4.0 Tiny Preview
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5 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-4.5

MIT

Open weights

IBM Granite 4.0 Tiny Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5 was released on 2025-07-28, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

GLM-4.5 is 3 months newer than IBM Granite 4.0 Tiny Preview.

GLM-4.5

Jul 28, 2025

1.1 years ago

2mo 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-4.5 and IBM Granite 4.0 Tiny Preview side-by-side, then vote on the output you prefer.

GLM-4.5
✓ Preferred
IBM Granite 4.0 Tiny Preview
Open in Playground

FAQ

Common questions about GLM-4.5 vs IBM Granite 4.0 Tiny Preview.

Which is better, GLM-4.5 or IBM Granite 4.0 Tiny Preview?

GLM-4.5 leads the LLM Stats Score 28.0 to -5.3. GLM-4.5 is made by Zhipu AI and IBM Granite 4.0 Tiny Preview is made by IBM. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-4.5 compare to IBM Granite 4.0 Tiny Preview in benchmarks?

GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%. 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-4.5 and IBM Granite 4.0 Tiny Preview?

GLM-4.5 supports 131K 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-4.5 and IBM Granite 4.0 Tiny Preview?

Key differences include LLM Stats Score (28.0 vs -5.3), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5 and IBM Granite 4.0 Tiny Preview?

GLM-4.5 is developed by Zhipu AI and IBM Granite 4.0 Tiny Preview is developed by IBM.

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