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Gemini Diffusion vs GLM-5.3

Comparing Gemini Diffusion and GLM-5.3 across benchmarks, pricing, and capabilities.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini Diffusion and GLM-5.3 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 Gemini Diffusion

  • you are already invested in the Google ecosystem

Choose GLM-5.3

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

At a glance

The differences that matter most.

Gemini Diffusion
Google
GLM-5.3
Zhipu AI
Benchmark wins
—
—
Input price
— / M
$1.40 / M
Output price
— / M
$4.40 / M
Context window
—
1,000,000
Released
May 2025
Aug 2026
License
Proprietary
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini Diffusion and GLM-5.3don'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

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).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 15 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

1.3 years ago

GLM-5.3

Aug 14, 2026

1 weeks ago

1.2yr newer

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 Gemini Diffusion and GLM-5.3 side-by-side, then vote on the output you prefer.

Gemini Diffusion
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about Gemini Diffusion vs GLM-5.3.

Which is better, Gemini Diffusion or GLM-5.3?

Gemini Diffusion (Google) and GLM-5.3 (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini Diffusion compare to GLM-5.3 in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

What are the context window sizes for Gemini Diffusion and GLM-5.3?

Gemini Diffusion supports an unknown number of tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini Diffusion and GLM-5.3?

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

Who makes Gemini Diffusion and GLM-5.3?

Gemini Diffusion is developed by Google and GLM-5.3 is developed by Zhipu AI.

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