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GPT-5.4 mini

OpenAI’s strongest mini-class model for coding, computer use, and subagent workloads where price and latency matter.

GPT-5 Updated May 20, 2026
Post Reboot Practical Scores

Capability profile

87.5
Reasoning 86.0
Coding 90.0
Writing 82.0
Speed 92.0
Cost efficiency 88.0
Image understanding 80.0
Pricing
Input
$0.75 / 1M tokens
Output
$4.50 / 1M tokens
Cached input
$0.075 / 1M tokens
Context
400K tokens
Free tier
No / unknown
API
Available
Subscription
OpenAI API
Open-source status
Closed
Best Use Cases
Best for
  • High-volume agent backends
  • coding subagents
  • and practical production automation.
Best workflows
  • Subagents
  • coding assistants
  • tool-using automations
  • and scalable internal products.
Weakest at
  • Truly frontier reasoning tasks where the top full-size models pull away.
Not ideal for
  • The hardest research-grade reasoning or premium polished writing as a primary use.
Post Reboot Take

This is the kind of model that actually changes unit economics. It makes a lot of agent patterns viable where flagship pricing still feels heavy.

OpenAI’s strongest mini-class model for coding, computer use, and subagent workloads where price and latency matter.

Post Reboot take

This is the kind of model that actually changes unit economics. It makes a lot of agent patterns viable where flagship pricing still feels heavy.

Strengths

Best for: High-volume agent backends, coding subagents, and practical production automation.

Weakest at: Truly frontier reasoning tasks where the top full-size models pull away.

Best workflows: Subagents, coding assistants, tool-using automations, and scalable internal products.

Example use cases: Bulk code transformations, workflow orchestration, QA triage, and medium-complexity app assistance.

Sources used for this profile