Model Comparison

GPT-5.4 vs GLM-4.7

GPT-5.4 shows notably better performance in the majority of benchmarks. GLM-4.7 is 5.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-5.4 outperforms in 3 benchmarks (BrowseComp, GPQA, Terminal-Bench 2.0), while GLM-4.7 is better at 1 benchmark (Humanity's Last Exam).

GPT-5.4 shows notably better performance in the majority of benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.7 costs less

For input processing, GPT-5.4 ($2.50/1M tokens) is 4.2x more expensive than GLM-4.7 ($0.60/1M tokens).

For output processing, GPT-5.4 ($15.00/1M tokens) is 6.8x more expensive than GLM-4.7 ($2.20/1M tokens).

In conclusion, GPT-5.4 is more expensive than GLM-4.7.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
OpenAI
GPT-5.4
Input tokens$2.50
Output tokens$15.00
Best providerOpenAI
Zhipu AI
GLM-4.7
Input tokens$0.60
Output tokens$2.20
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.4 accepts 1,000,000 input tokens compared to GLM-4.7's 202,800 tokens. GLM-4.7 can generate longer responses up to 131,072 tokens, while GPT-5.4 is limited to 128,000 tokens.

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.7
Input202,800 tokens
Output131,072 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.4 and GLM-4.7 support multimodal inputs.

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

GPT-5.4

Text
Images
Audio
Video

GLM-4.7

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.4 is licensed under a proprietary license, while GLM-4.7 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-4.7

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while GLM-4.7 was released on 2025-12-22.

GPT-5.4 is 2 months newer than GLM-4.7.

GPT-5.4

Mar 5, 2026

1 months ago

2mo newer
GLM-4.7

Dec 22, 2025

3 months ago

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-4.7 is available from Fireworks, Novita.

GPT-5.4

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

GLM-4.7

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (1,000,000 tokens)
Higher BrowseComp score (82.7% vs 52.0%)
Higher GPQA score (92.8% vs 85.7%)
Higher Terminal-Bench 2.0 score (75.1% vs 41.0%)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Humanity's Last Exam score (42.8% vs 39.8%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
Zhipu AI
GLM-4.7

FAQ

Common questions about GPT-5.4 vs GLM-4.7

GPT-5.4 shows notably better performance in the majority of benchmarks. GPT-5.4 is made by OpenAI and GLM-4.7 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-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%.
GLM-4.7 is 4.2x cheaper for input tokens. GPT-5.4 costs $2.50/M input and $15.00/M output via openai. GLM-4.7 costs $0.60/M input and $2.20/M output via fireworks.
GPT-5.4 supports 1.0M tokens and GLM-4.7 supports 203K 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 203K), input pricing ($2.50 vs $0.60/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-5.4 is developed by OpenAI and GLM-4.7 is developed by Zhipu AI.