Model Comparison

GLM-5 vs GPT-5.4 mini

Both models are evenly matched across the benchmarks. GLM-5 is 1.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 1 benchmarks (MCP Atlas), while GPT-5.4 mini is better at 1 benchmark (Terminal-Bench 2.0).

Both models are evenly matched across the benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.3x more expensive than GPT-5.4 mini ($0.75/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.4x cheaper than GPT-5.4 mini ($4.50/1M tokens).

In conclusion, GPT-5.4 mini is more expensive than GLM-5.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
OpenAI
GPT-5.4 mini
Input tokens$0.75
Output tokens$4.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.4 mini accepts 400,000 input tokens compared to GLM-5's 200,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
OpenAI
GPT-5.4 mini
Input400,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.4 mini supports multimodal inputs, whereas GLM-5 does not.

GPT-5.4 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

GPT-5.4 mini

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while GPT-5.4 mini uses a proprietary license.

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

GLM-5

MIT

Open weights

GPT-5.4 mini

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GPT-5.4 mini was released on 2026-03-17.

GPT-5.4 mini is 1 month newer than GLM-5.

GLM-5

Feb 11, 2026

2 months ago

GPT-5.4 mini

Mar 17, 2026

1 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5.4 mini has a documented knowledge cutoff of 2025-08-31, while GLM-5's cutoff date is not specified.

We can confirm GPT-5.4 mini's training data extends to 2025-08-31, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

GPT-5.4 mini

Aug 2025

Provider Availability

GLM-5 is available from ZAI. GPT-5.4 mini is available from OpenAI.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

GPT-5.4 mini

openai logo
OpenAI
Input Price:Input: $0.75/1MOutput Price:Output: $4.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Less expensive output tokens
Has open weights
Higher MCP Atlas score (67.8% vs 57.7%)
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher Terminal-Bench 2.0 score (60.0% vs 56.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
OpenAI
GPT-5.4 mini

FAQ

Common questions about GLM-5 vs GPT-5.4 mini

Both models are evenly matched across the benchmarks. GLM-5 is made by Zhipu AI and GPT-5.4 mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. GPT-5.4 mini scores Tau2 Telecom: 93.4%, GPQA: 88.0%, OmniDocBench 1.5: 87.4%, MMMU-Pro: 76.6%, Graphwalks BFS <128k: 76.3%.
GPT-5.4 mini is 1.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. GPT-5.4 mini costs $0.75/M input and $4.50/M output via openai.
GLM-5 supports 200K tokens and GPT-5.4 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 (200K vs 400K), input pricing ($1.00 vs $0.75/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and GPT-5.4 mini is developed by OpenAI.