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Model Comparison

GPT-5.4 vs GPT-5.5 Pro

GPT-5.5 Pro shows notably better performance in the majority of benchmarks. GPT-5.4 is 12.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-5.4 outperforms in 1 benchmarks (FrontierMath), while GPT-5.5 Pro is better at 2 benchmarks (BrowseComp, Humanity's Last Exam).

GPT-5.5 Pro shows notably better performance in the majority of benchmarks.

Thu Apr 23 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

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Pricing Analysis

Price comparison per million tokens

GPT-5.4 costs less

For input processing, GPT-5.4 ($2.50/1M tokens) is 12.0x cheaper than GPT-5.5 Pro ($30.00/1M tokens).

For output processing, GPT-5.4 ($15.00/1M tokens) is 12.0x cheaper than GPT-5.5 Pro ($180.00/1M tokens).

In conclusion, GPT-5.5 Pro is more expensive than GPT-5.4.*

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

Lowest available price from all providers
Thu Apr 23 2026 • llm-stats.com
OpenAI
GPT-5.4
Input tokens$2.50
Output tokens$15.00
Best providerOpenAI
OpenAI
GPT-5.5 Pro
Input tokens$30.00
Output tokens$180.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
OpenAI
GPT-5.5 Pro
Input1,000,000 tokens
Output128,000 tokens
Thu Apr 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.4 and GPT-5.5 Pro support multimodal inputs.

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

GPT-5.4

Text
Images
Audio
Video

GPT-5.5 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5.4

Proprietary

Closed source

GPT-5.5 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while GPT-5.5 Pro was released on 2026-04-23.

GPT-5.5 Pro is 2 months newer than GPT-5.4.

GPT-5.4

Mar 5, 2026

1 months ago

GPT-5.5 Pro

Apr 23, 2026

0 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. GPT-5.5 Pro is available from OpenAI.

GPT-5.4

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

GPT-5.5 Pro

openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $180.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
Higher FrontierMath score (47.6% vs 39.6%)
OpenAI
Higher BrowseComp score (90.1% vs 82.7%)
Higher Humanity's Last Exam score (57.2% vs 39.8%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
OpenAI
GPT-5.5 Pro

FAQ

Common questions about GPT-5.4 vs GPT-5.5 Pro

GPT-5.5 Pro shows notably better performance in the majority of benchmarks. GPT-5.4 is made by OpenAI and GPT-5.5 Pro is made by OpenAI. 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%. GPT-5.5 Pro scores BrowseComp: 90.1%, GDPval-MM: 82.3%, Humanity's Last Exam: 57.2%, FrontierMath: 39.6%, GeneBench: 33.2%.
GPT-5.4 is 12.0x cheaper for input tokens. GPT-5.4 costs $2.50/M input and $15.00/M output via openai. GPT-5.5 Pro costs $30.00/M input and $180.00/M output via openai.
GPT-5.4 supports 1.0M tokens and GPT-5.5 Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($2.50 vs $30.00/M). See the full comparison above for benchmark-by-benchmark results.