Model Comparison

GLM-4.5V vs GPT-5 mini

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

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and GPT-5 mini don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 mini costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 2.2x more expensive than GPT-5 mini ($0.25/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 1.1x more expensive than GPT-5 mini ($2.00/1M tokens).

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

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

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
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-4.5V's 131,072 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while GPT-5 mini is limited to 128,000 tokens.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.5V and GPT-5 mini support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-4.5V

Text
Images
Audio
Video

GPT-5 mini

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V 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-4.5V

MIT

Open weights

GPT-5 mini

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while GPT-5 mini was released on 2025-08-07.

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

GLM-4.5V

Aug 11, 2025

8 months ago

4d newer
GPT-5 mini

Aug 7, 2025

8 months ago

Knowledge Cutoff

When training data ends

GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while GLM-4.5V'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-4.5V's cutoff date.

GLM-4.5V

—

GPT-5 mini

May 2024

Provider Availability

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

GLM-4.5V

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

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Key Takeaways

Zhipu AI
Has open weights
OpenAI
Larger context window (400,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5V
OpenAI
GPT-5 mini

FAQ

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

GLM-4.5V (Zhipu AI) and GPT-5 mini (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%.
GPT-5 mini is 2.2x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. GPT-5 mini costs $0.25/M input and $2.00/M output via openai.
GLM-4.5V 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.
Key differences include context window (131K vs 400K), input pricing ($0.55 vs $0.25/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-4.5V is developed by Zhipu AI and GPT-5 mini is developed by OpenAI.