text model
GPT-4
OpenAIThe generational jump that made LLMs viable for real work.
GPT-4 was the first model most companies trusted with production tasks. It is included here for the capability curve rather than as a recommendation — everything it does, cheaper models now do better.
CapabilitiesTool useVision (Turbo)JSON mode (Turbo)
Variants
3 ways to run it.
Same family, different quality/cost rung. Picking the wrong one is the most common way teams overpay.
Base (8K)
Balancedgpt-4Original 8K context release.
3×
rel. cost
58
quality
Turbo (128K)
Highgpt-4-turboCheaper, faster, 128K context, vision.
1×
rel. cost
64
quality
32K
Maxgpt-4-32kExtended-context variant of the original.
6×
rel. cost
58
quality
Fit
Two audiences, one model.
The same model is a different proposition depending on what you point it at.
48/100
Recruitment fit
Historic interest only — cheaper current models beat it on both quality and cost.
Best for
- Nothing new. Migrate existing pipelines.
Strengths
- Extremely well documented
- Predictable behaviour
Watch out for
- Costs more than GPT-5.6 while performing worse
The numbers
Measured, not asserted.
Published benchmarks
Vendor and independent figures.
- MMLU
- 86.4%Published