gpt-5.4-nanoOpenAI
- endpoints
- 2
- regions
- 1
- api
- chat
- released
- March 2026
capabilities 5/8
The same weights cost 2.0x more on openai inc. than on openai inc.. That is what the endpoints table is for.
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  OpenAI Inc. | Global | 400K | $0.10 | $0.63 | $0.01 | no-train |
| 2 | OpenAI Inc. | Global | 400K | $0.20 | $1.25 | $0.02 | no-train |
no measured traffic for this model yet. the endpoints table above carries provider pricing
| eval | Score as a share of 100 | /100 |
|---|---|---|
| GPQA Diamond | 81.7 | |
| τ²-Bench | 76.0 | |
| Coding Index | 56.1 | |
| SciCode | 47.2 | |
| Terminal-Bench Hard | 42.4 | |
| Humanity's Last Exam | 28.3 | |
| Intelligence Index | 21.2 | |
| 7 evals | mean | 50.4 |
Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-03-17.
gpt-5.4-nanorequesty routes this id across every provider serving gpt-5.4-nano, picking on price and health and failing over automatically. the id stays valid when a provider changes underneath it
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="gpt-5.4-nano", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale. GPT-5.4 mini delivers reliable instruction following, solid multi-step reasoning, and consistent performance across diverse tasks with improved cost efficiency.
questions 6
Which providers serve gpt-5.4-nano?
How much does gpt-5.4-nano cost?
Is gpt-5.4-nano open weights?
What is the context window of gpt-5.4-nano?
How do I use gpt-5.4-nano with the OpenAI SDK?
Should I call gpt-5.4-nano by its managed id or a provider id?
more from openai 6
| model | context | from /M | providers |
|---|---|---|---|
| gpt-6-astra | 1.1M | $5.00 | 2 |
| gpt-5.6-luna | 1.1M | $0.10 | 3 |
| gpt-5.6-terra | 1.1M | $1.00 | 3 |
| gpt-5.6-sol | 1.1M | $2.50 | 3 |
| gpt-5.5-pro | 1.1M | $30.00 | 1 |
| gpt-5.5 | 1.1M | $2.50 | 3 |
route gpt-5.4-nano through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology