GPT 5.4 vs GPT 5.4 Mini
Direct comparison between openai and openai for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: GPT 5.4 Mini
- · GPT 5.4: Better tool-use accuracy than GPT-5.3 with shorter outputs
- · GPT 5.4 Mini: Fraction of GPT-5.4 cost with very similar tool-use quality
Spec comparison
| Spec | GPT 5.4 | GPT 5.4 Mini |
|---|---|---|
| Provider | openai | openai |
| Input per 1M tokens | $2.50 / 1M | $0.75 / 1M |
| Output per 1M tokens | $15.00 / 1M | $4.50 / 1M |
| Context window | 400,000 tok | 400,000 tok |
| Max output | 16,384 tok | 16,384 tok |
| Knowledge cutoff | 2026-01 | 2026-01 |
| Vision | ||
| Tool calling | ||
| JSON mode | ||
| Structured output | ||
| Reasoning |
GPT 5.4 — strengths
- +Better tool-use accuracy than GPT-5.3 with shorter outputs
- +Native vision for screenshots, charts, and documents
- +400k context — fits code repos and long conversations
GPT 5.4 Mini — strengths
- +Fraction of GPT-5.4 cost with very similar tool-use quality
- +Low latency — good for realtime chat and inline completion
- +Same 400k context window as the full-size model
GPT 5.4 — weaknesses
- −Pricier per token than Sonnet 4.6 at comparable coding quality
- −Reasoning mode noticeably increases latency over standard calls
GPT 5.4 Mini — weaknesses
- −No dedicated reasoning mode — complex math degrades
- −On very long tool-call chains, drift detection is weaker