Model Comparison

GLM-4.5 vs GPT-5 miniWhich is better in 2026?

GPT-5 mini significantly outperforms across most benchmarks. GPT-5 mini is 1.0x cheaper per token.

Verdict: GLM-4.5 vs GPT-5 mini — which is better?

GLM-4.5 (by Zhipu AI) and GPT-5 mini (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-4.5 outperforms in 0 benchmarks, while GPT-5 mini is better at 2 benchmarks (GPQA, Humanity's Last Exam). GPT-5 mini significantly outperforms across most benchmarks.

GPT-5 mini also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-4.5 if…

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

Choose GPT-5 mini if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 400,000 token context window
  • you want the most recent training data — it shipped Aug 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-4.5 outperforms in 0 benchmarks, while GPT-5 mini is better at 2 benchmarks (GPQA, Humanity's Last Exam).

GPT-5 mini significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 mini costs less

For input processing, GLM-4.5 ($0.40/1M tokens) is 1.6x more expensive than GPT-5 mini ($0.25/1M tokens).

For output processing, GLM-4.5 ($1.60/1M tokens) is 1.3x cheaper than GPT-5 mini ($2.00/1M tokens).

In conclusion, GLM-4.5 is more expensive than GPT-5 mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
OpenAI
GPT-5 mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 mini accepts 400,000 input tokens compared to GLM-4.5's 131,072 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while GPT-5 mini is limited to 128,000 tokens.

Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

GPT-5 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5

Text
Images
Audio
Video

GPT-5 mini

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

GLM-4.5

MIT

Open weights

GPT-5 mini

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5 was released on 2025-07-28, while GPT-5 mini was released on 2025-08-07.

GPT-5 mini is 0 month newer than GLM-4.5.

GLM-4.5

Jul 28, 2025

12 months ago

GPT-5 mini

Aug 7, 2025

11 months ago

1w newer

Knowledge Cutoff

When training data ends

GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while GLM-4.5's cutoff date is not specified.

We can confirm GPT-5 mini's training data extends to 2024-05-30, but cannot make a direct comparison without GLM-4.5's cutoff date.

GLM-4.5

—

GPT-5 mini

May 2024

Provider Availability

GLM-4.5 is available from DeepInfra, Fireworks, Novita. GPT-5 mini is available from OpenAI.

GLM-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

GPT-5 mini

openai logo
OpenAI
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Less expensive output tokens
Has open weights
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher GPQA score (82.3% vs 79.1%)
Higher Humanity's Last Exam score (16.7% vs 14.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

GLM-4.5
✓ Preferred
GPT-5 mini
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5
OpenAI
GPT-5 mini

FAQ

Common questions about GLM-4.5 vs GPT-5 mini.

Which is better, GLM-4.5 or GPT-5 mini?

GPT-5 mini significantly outperforms across most benchmarks. GLM-4.5 is made by Zhipu AI and GPT-5 mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.5 compare to GPT-5 mini 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%. GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%.

Is GLM-4.5 cheaper than GPT-5 mini?

GPT-5 mini is 1.6x cheaper for input tokens. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra. GPT-5 mini costs $0.25/M input and $2.00/M output via openai.

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

GLM-4.5 supports 131K tokens and GPT-5 mini supports 400K 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 GPT-5 mini?

Key differences include context window (131K vs 400K), input pricing ($0.40 vs $0.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5 and GPT-5 mini?

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

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