GPT-5 vs GPT-5.4 nano
GPT-5 leads the LLM Stats Score 33.8 to 26.6. GPT-5.4 nano is 7.4x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-5 leads the overall LLM Stats Score 33.8 to 26.6, ranking #97 overall.
In the 6 individual benchmarks reported for both models, GPT-5 wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-5.4 nano is roughly 7.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5
- overall performance matters — it scores 33.8 and ranks #97 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 6 exact shared results
Choose GPT-5.4 nano
- cost matters — it's about 7.4x cheaper per token
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
34 reported for GPT-5 · 15 for GPT-5.4 nano
GPT-5 outperforms in 6 benchmarks (GPQA, Graphwalks BFS <128k, Graphwalks parents <128k, Humanity's Last Exam, MMMU-Pro, Tau2 Telecom), while GPT-5.4 nano is better at 0 benchmarks.
GPT-5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5 ($1.25/1M tokens) is 6.3x more expensive than GPT-5.4 nano ($0.20/1M tokens).
For output processing, GPT-5 ($10.00/1M tokens) is 8.0x more expensive than GPT-5.4 nano ($1.25/1M tokens).
In conclusion, GPT-5 is more expensive than GPT-5.4 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 400,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5 and GPT-5.4 nano support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5
GPT-5.4 nano
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-5 was released on 2025-08-07, while GPT-5.4 nano was released on 2026-03-17.
GPT-5.4 nano is 7 months newer than GPT-5.
Aug 7, 2025
1.1 years ago
Mar 17, 2026
6 months ago
7mo newerKnowledge Cutoff
When training data ends
GPT-5 has a knowledge cutoff of 2024-09-30, while GPT-5.4 nano has a cutoff of 2025-08-31.
GPT-5.4 nano has more recent training data (up to 2025-08-31), making it potentially better informed about events through that date compared to GPT-5 (2024-09-30).
Sep 2024
Aug 2025
11 mo newerProvider Availability
GPT-5 is available from OpenAI. GPT-5.4 nano is available from OpenAI.
GPT-5
GPT-5.4 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 and GPT-5.4 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 vs GPT-5.4 nano.