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GLM-4.5V vs GPT-5 Codex

Comparing GLM-4.5V and GPT-5 Codex across benchmarks, pricing, and capabilities.

Zhipu AI · OpenAI · Updated for 2026

Which is better?

GLM-4.5V and GPT-5 Codex trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose GLM-4.5V

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

Choose GPT-5 Codex

  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

GLM-4.5V
Zhipu AI
GPT-5 Codex
OpenAI
Benchmark wins
—
—
Input price
$0.55 / M
— / M
Output price
$2.19 / M
— / M
Context window
131,072
—

Individual benchmarks

0 reported for GLM-4.5V · 1 for GPT-5 Codex

No common benchmarks found

GLM-4.5V and GPT-5 Codexdon'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

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-4.5V supports multimodal inputs, whereas GPT-5 Codex does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5V

Text
Images
Audio
Video

GPT-5 Codex

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V is licensed under MIT, while GPT-5 Codex uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-4.5V

MIT

Open weights

GPT-5 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while GPT-5 Codex was released on 2025-09-15.

GPT-5 Codex is 1 month newer than GLM-4.5V.

GLM-4.5V

Aug 11, 2025

1.1 years ago

GPT-5 Codex

Sep 15, 2025

11 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5 Codex has a documented knowledge cutoff of 2024-09-30, while GLM-4.5V's cutoff date is not specified.

We can confirm GPT-5 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without GLM-4.5V's cutoff date.

GLM-4.5V

—

GPT-5 Codex

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-4.5V and GPT-5 Codex side-by-side, then vote on the output you prefer.

GLM-4.5V
✓ Preferred
GPT-5 Codex
Open in Playground

FAQ

Common questions about GLM-4.5V vs GPT-5 Codex.

Which is better, GLM-4.5V or GPT-5 Codex?

GLM-4.5V (Zhipu AI) and GPT-5 Codex (OpenAI) 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-4.5V compare to GPT-5 Codex in benchmarks?

GPT-5 Codex scores SWE-Bench Verified: 74.5%.

What are the context window sizes for GLM-4.5V and GPT-5 Codex?

GLM-4.5V supports 131K tokens and GPT-5 Codex 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-4.5V and GPT-5 Codex?

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

Who makes GLM-4.5V and GPT-5 Codex?

GLM-4.5V is developed by Zhipu AI and GPT-5 Codex is developed by OpenAI.

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