Model Comparison

GPT-5.4 vs GLM-5.1

GPT-5.4 has a slight edge in benchmark performance. GLM-5.1 is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-5.4 outperforms in 4 benchmarks (BrowseComp, GPQA, Terminal-Bench 2.0, Toolathlon), while GLM-5.1 is better at 3 benchmarks (Humanity's Last Exam, MCP Atlas, SWE-Bench Pro).

GPT-5.4 has a slight edge in benchmark performance.

Thu Apr 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5.1 costs less

For input processing, GPT-5.4 ($2.50/1M tokens) is 1.8x more expensive than GLM-5.1 ($1.40/1M tokens).

For output processing, GPT-5.4 ($15.00/1M tokens) is 3.4x more expensive than GLM-5.1 ($4.40/1M tokens).

In conclusion, GPT-5.4 is more expensive than GLM-5.1.*

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

Lowest available price from all providers
Thu Apr 09 2026 • llm-stats.com
OpenAI
GPT-5.4
Input tokens$2.50
Output tokens$15.00
Best providerOpenAI
Zhipu AI
GLM-5.1
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

GPT-5.4 accepts 1,000,000 input tokens compared to GLM-5.1's 200,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
Zhipu AI
GLM-5.1
Input200,000 tokens
Output128,000 tokens
Thu Apr 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.4 supports multimodal inputs, whereas GLM-5.1 does not.

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

GPT-5.4

Text
Images
Audio
Video

GLM-5.1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.4 is licensed under a proprietary license, while GLM-5.1 uses MIT.

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

GPT-5.4

Proprietary

Closed source

GLM-5.1

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while GLM-5.1 was released on 2026-04-07.

GLM-5.1 is 1 month newer than GPT-5.4.

GPT-5.4

Mar 5, 2026

1 months ago

GLM-5.1

Apr 7, 2026

2 days ago

1mo 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

Provider Availability

GPT-5.4 is available from OpenAI. GLM-5.1 is available from ZAI.

GPT-5.4

openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

GLM-5.1

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher BrowseComp score (82.7% vs 79.3%)
Higher GPQA score (92.8% vs 86.2%)
Higher Terminal-Bench 2.0 score (75.1% vs 69.0%)
Higher Toolathlon score (54.6% vs 40.7%)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Humanity's Last Exam score (52.3% vs 39.8%)
Higher MCP Atlas score (71.8% vs 67.2%)
Higher SWE-Bench Pro score (58.4% vs 57.7%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
Zhipu AI
GLM-5.1

FAQ

Common questions about GPT-5.4 vs GLM-5.1

GPT-5.4 has a slight edge in benchmark performance. GPT-5.4 is made by OpenAI and GLM-5.1 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5.4 scores Tau2 Telecom: 98.9%, ARC-AGI: 93.7%, Graphwalks BFS <128k: 93.0%, GPQA: 92.8%, Graphwalks parents <128k: 89.8%. GLM-5.1 scores Vending-Bench 2: 100.0%, AIME 2026: 95.3%, HMMT 2025: 94.0%, GPQA: 86.2%, IMO-AnswerBench: 83.8%.
GLM-5.1 is 1.8x cheaper for input tokens. GPT-5.4 costs $2.50/M input and $15.00/M output via openai. GLM-5.1 costs $1.40/M input and $4.40/M output via z.
GPT-5.4 supports 1.0M tokens and GLM-5.1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 200K), input pricing ($2.50 vs $1.40/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-5.4 is developed by OpenAI and GLM-5.1 is developed by Zhipu AI.