Vivgrid: GPT-5.4
GPT-5.4 is a reasoning model from Vivgrid released on Mar 5, 2026. It reads text, images and files and writes text, with a 400K token context window and up to 128K tokens per reply.
Show moreShow less
It costs $2.50 per million input tokens and $15 per million output tokens. Cached input bills at $0.25, 90% less than fresh input.
It supports tool calling, structured JSON output and prompt caching.
- Modalities
- In / out price
- $2.50 / $15 per 1M
- Context
- 400K
- Max output
- 128K
- Released
- Mar 5, 2026
- Knowledge cutoff
- Aug 2025
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
GPT-5.4 pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $2.50 / 1M tokens | |
|---|---|---|
| Output | $15 / 1M tokens | |
| Cached input (read) | $0.25 / 1M tokens | 90% off input |
What GPT-5.4 costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call GPT-5.4 through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Reasoning
reasoning
Alternatives to GPT-5.4
Models that take the same inputs and call tools, closest in price, cheaper ones first.
- Index 42.1
Reads text, images and files. Tool calling, structured output, reasoning. Served by 39 providers.
by openaiJul 9, 20261.05M context$2/M input tokens$12/M output tokens39 providers
- Index 51.8
Reads text, images and files. Tool calling, structured output, reasoning. Served by 28 providers.
by openaiSep 29, 20261.05M context$2/M input tokens$10/M output tokens28 providers
- Index 56
Reads text, images and files. Tool calling, structured output, reasoning. Served by 27 providers.
by anthropicSep 26, 20261M context$2/M input tokens$10/M output tokens27 providers
- 1.05M context
Reads text, images and files. Tool calling, structured output, reasoning. Served by 29 providers.
by openaiSep 22, 2026$2/M input tokens$10/M output tokens29 providers
- 1M context
Reads text, images and files. Tool calling, structured output, reasoning. Served by 38 providers.
by anthropicJun 29, 2026$2/M input tokens$10/M output tokens38 providers
- 1.05M context
Reads text, images and files. Tool calling, structured output, reasoning. Served by 42 providers.
by openaiFeb 26, 2026$2.50/M input tokens$15/M output tokens42 providers
More from Vivgrid
- 1M context
Reads text and images. Tool calling, structured output, reasoning.
by vivgridSep 21, 2026$0.13/M input tokens$0.40/M output tokens
- 400K context
Reads text, images and files. Tool calling, structured output, reasoning.
by vivgridMar 17, 2026$0.75/M input tokens$4.50/M output tokens
- 400K context
Reads text, images and files. Tool calling, structured output, reasoning.
by vivgridMar 17, 2026$0.20/M input tokens$1.25/M output tokens
- 1.05M context
Reads text, images, files, audio and video. Tool calling, structured output, reasoning.
by vivgridMar 3, 2026$0.25/M input tokens$1.50/M output tokens
- 400K context
Reads text and images. Tool calling, structured output, reasoning.
by vivgridFeb 24, 2026$1.75/M input tokens$14/M output tokens
- 1.05M context
Reads text, images, files, audio and video. Tool calling, structured output, reasoning.
by vivgridFeb 19, 2026$2/M input tokens$12/M output tokens
GPT-5.4 questions
How much does the GPT-5.4 API cost?
$2.50 per million input tokens and $15 per million output tokens, with cached input at $0.25. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of GPT-5.4?
400,000 tokens of input, and it can write up to 128,000 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does GPT-5.4 support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is GPT-5.4 open source?
No. Vivgrid serves it through an API only, so you cannot download the weights or host it yourself.
When was GPT-5.4 released?
Mar 5, 2026, with training data up to Aug 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.