GPT-5.4 mini
Higher-capability GPT-5.4 mini for high-volume coding, computer use, and subagent workflows.
You always get the exact model you pick — we never silently route you to another.
About GPT-5.4 mini
Speed and economy are the defining story of GPT-5.4 mini. Running more than twice as fast as its predecessor GPT-5 mini, this March 2026 model scores 54.4% on SWE-Bench Pro — within striking distance of the full GPT-5.4 at 57.7% — while costing roughly six times less. Its 400,000-token context window and strong computer-use performance (72.1% on OSWorld-Verified) make it a credible workhorse for agentic pipelines that need to interpret dense UIs and handle long documents without expensive truncation. Users consistently praise its throughput and its ability to punch well above its price class on coding tasks. The honest trade-off: instruction-following can be inconsistent under sustained load, with the model sometimes ignoring prompt rules or losing thread of constraints mid-conversation. It is also capped at reasoning_effort "high," so workloads requiring deep chain-of-thought should route to GPT-5.4 instead. For high-volume production systems where cost discipline matters and most tasks do not require peak reasoning, GPT-5.4 mini sets the current bar.
Best for
- High-volume coding assistance and terminal agents — 54.4% SWE-Bench Pro at a fraction of flagship cost
- Computer use and UI automation where visual understanding of screenshots and dense interfaces is required
- Production chat systems needing low latency and competitive quality without premium per-token spend
- Long-document analysis and retrieval tasks that benefit from the 400,000-token context window
- Multi-model routing as the default tier, escalating to GPT-5.4 only for reasoning-heavy exceptions
Specifications
| Provider | OpenAI |
|---|---|
| Released | 2026-03-17 |
| Intelligence | High |
| Speed | Fast |
| Context window | 400,000 tokens |
| Max output | 128,000 tokens |
| Knowledge cutoff | August 31, 2025 |
| Input price | $0.75 / 1M tokens |
| Output price | $4.50 / 1M tokens |
| Request cost | 1 premium request |
| Plan tier | Premium |
| Input | Text, Image |
| Output | Text |
| Features | Cached input: $0.075 / 1M tokens, Web search, file search, image generation, code interpreter, hosted shell, apply patch, skills, computer use, MCP, and tool search supported, Fine-tuning not supported; distillation supported |
| API endpoints | v1/chat/completions, v1/responses, v1/realtime, v1/assistants, v1/batch |
| Model ID | gpt-5.4-mini |
Frequently asked questions
$0.75 per million input tokens and $4.50 per million output tokens. Cached input drops to $0.075 per million — a 90% discount — making repeated-context workloads significantly cheaper.
400,000 tokens input with up to 128,000 tokens of output, suitable for long documents, large codebases, or extended multi-turn sessions.
GPT-5.4 mini scores 54.4% on SWE-Bench Pro versus GPT-5.4's 57.7%, while costing roughly six times less. The main gap is maximum reasoning depth — GPT-5.4 mini caps at reasoning_effort 'high' while GPT-5.4 supports 'pro'.
Deep reasoning tasks with little margin for error, complex spatial reasoning (such as interpreting 3D shapes from 2D patterns), and strict instruction-following under high load — it can inconsistently apply or ignore prompt rules.
Yes. It accepts text and image inputs, and supports tool use, function calling, web search, file search, computer use, and extended thinking up to reasoning_effort 'high'.
Anyone upgrading from GPT-5 mini will get meaningfully better quality — the Arena ELO gap is 61 points — at similar or lower cost with noticeably faster output speeds (around 180 tokens per second).