AI Model Profile

GPT-5.4 mini

GPT-5.4 mini is an OpenAI API model described as a smaller model for coding, computer use, and subagents.

Before you buy

Buying details reviewed 2026-10-23. Price, included amounts and access are dated observations; check the official source for current terms. This date does not review the whole fact ledger or renew historical demonstrations.

Best for: Candidate for lower-latency or lower-cost OpenAI API workflows that still need coding and tool-use support.

Price: USD API: US$0.75 input / US$4.50 output per 1M tokens

Included: GPT-5.4 mini is an OpenAI API model described as a smaller model for coding, computer use, and subagents.

Main limits: This profile does not claim it matches larger frontier models; benchmark and quality checks should be task-specific. Standard list rates; cache writes, tools, long-context premiums, regional processing and other service tiers can change the bill.

What Kingy showed: Related coverage: Best AI Model API in 2026: A Use-Case and Routing Guide. This review does not treat that article as a new test of this exact model, plan or current release.

Check official plans · See the demonstration and disclosure · Compare these workflows

Family
GPT-5
Release date
Unknown
Status
Current
Context window
400K tokens
Output limit
128K tokens
API
yes
Open weights
no
Local/self-hosted
no
Pricing
input $0.75; output $4.5; cached input $0.075 per million tokens (published list price, observed 2026-06-16)
Evidence state
Recheck due

Benchmark Caveat

Provider documentation and provider-published capability notes are directional, not universal rankings. Real results depend on prompts, tools, latency targets, pricing tier, safety filters, context length, and workload mix.

Best for

Candidate for lower-latency or lower-cost OpenAI API workflows that still need coding and tool-use support.

Skip if

Skip if your team needs independently benchmarked performance claims or contractual guarantees not present in the official provider documentation.

Strengths

Official docs list tool support, 400K context, and lower listed API price than larger GPT-5 models.

Weaknesses

This profile does not claim it matches larger frontier models; benchmark and quality checks should be task-specific.

Agent suitability

Candidate for subagents and computer-use workflows where cost and speed matter.

Kingy AI take

Use this profile as a source-backed reference point, not a ranking. Re-check official provider docs before making production or budget decisions.

Kingy AI Product Facts

GPT-5.4 mini

Current statusUnknown

Company
Not yet reviewed
Primary job
Not yet reviewed
Audience
Not yet reviewed
Evidence
Source-backed; coverage expanding
Latest source check
October 23, 2026
See all tracked product factsPricing, platforms, dependencies, data claims, regions, and timeline

Sources and checks

Coverage
1 of 88 tracked fields currently verified
Sources
1

Source-check dates apply to the tracked facts. Editorial updates elsewhere on this page may have a different date.

Plans and pricing units

Not yet structured in this Kingy record.

Where it runs

Availability
Not yet reviewed

Stack and integrations

Model / provider dependencies
Not yet reviewed
Integrations
Not yet reviewed

Data and regions

Vendor data-use claim
Not yet reviewed
Vendor retention claim
Not yet reviewed
Regions
Not yet reviewed

Launch and latest material update

Launch
Not yet reviewed
Latest material update
Not yet reviewed
Technical evidence and revision history
Embed “Facts tracked by Kingy”

This label is not a security certification, audit, or product endorsement. It reports the facts Kingy currently supports and when they were last checked.

Full Model Notes

Who should consider it

Candidate for lower-latency or lower-cost OpenAI API workflows that still need coding and tool-use support. GPT-5.4 mini is an OpenAI API model described as a smaller model for coding, computer use, and subagents.

Plan, price and billing scope

USD API: US$0.75 input / US$4.50 output per 1M tokens. GPT-5.4 mini is an OpenAI API model described as a smaller model for coding, computer use, and subagents. Prices use the currency and billing term stated here. Where a numeric rate, region or current entitlement could not be verified, it remains explicit; no checkout was completed.

Limits that affect the decision

This profile does not claim it matches larger frontier models; benchmark and quality checks should be task-specific. Standard list rates; cache writes, tools, long-context premiums, regional processing and other service tiers can change the bill.

What the existing evidence shows

Related coverage: Best AI Model API in 2026: A Use-Case and Routing Guide. This review does not treat that article as a new test of this exact model, plan or current release. Related workflow reading; not a demonstration of this exact product. Read the related article.

Sources and buying-review date

Buying review completed October 23, 2026. This is a source-based buying assessment. No paid product test, new generation, checkout or performance benchmark was performed. Vendor descriptions and historical examples remain distinct from independently measured results. The date does not renew the broader canonical fact ledger.

Check the official offer · Compare related options

Earlier profile, sources and dates

This older record retains its original scope. Current buying qualifications above take precedence where terms have changed.

GPT-5.4 mini is an OpenAI API model described as a smaller model for coding, computer use, and subagents.

Coding notes

Official docs describe it as a mini model for coding.

Reasoning notes

Reasoning controls are listed, but teams should validate reasoning depth on real tasks.

Creative notes

Supports text and image input according to OpenAI model docs.

Research notes

Useful to test for large-context but cost-sensitive analysis workflows.

API pricing notes

$0.75 input MTok and $4.50 output MTok in OpenAI model docs as checked on 2026-06-18.

License notes

Review the official provider terms and model documentation before relying on license or redistribution assumptions.