text model
GPT-5
OpenAIThe model that introduced the reasoning-effort dial.
GPT-5 was the first GPT to expose reasoning effort as a first-class parameter, and the first with a 400K context window. Superseded by 5.6 for new work, but still a sensible floor for cost-sensitive pipelines that were built against it.
CapabilitiesReasoning effort controlTool useStructured outputsVision
Variants
3 ways to run it.
Same family, different quality/cost rung. Picking the wrong one is the most common way teams overpay.
Standard
Highgpt-5Full model with selectable effort from minimal to high.
5×
rel. cost
88
quality
Mini
Balancedgpt-5-miniCheaper sibling for well-specified tasks.
1×
rel. cost
76
quality
Nano
Minigpt-5-nanoCheapest rung — classification and extraction only.
0.2×
rel. cost
62
quality
Fit
Two audiences, one model.
The same model is a different proposition depending on what you point it at.
78/100
Recruitment fit
Still capable for screening work, but 5.6 does the same job cheaper and faster.
Best for
- Existing pipelines already pinned to GPT-5
Strengths
- 400K context
- Well-understood behaviour in existing pipelines
Watch out for
- Superseded — no reason to start here on a new build