GPT-5 costs and claims: every figure from a sentence that names it
6 of the 629 figures in these field notes come from a sentence that names GPT-5. Each one is quoted verbatim from the write-up it appeared in, with the day that write-up went out.
Some of these are about GPT-5 and some only measure against it — a competitor’s price quoted next to GPT-5’s belongs here too, because that is the sentence someone searching for the comparison is looking for. The sentence tells you which is which.
This is not a GPT-5 price sheet. Nothing here is read off a vendor page. These are figures a working developer wrote down, and the date is the day the piece was published — not the day the price was in force. Model prices move fast: read every row as of its own date, and treat an old one as a lead rather than a quote.
The figures
- $1.43 — “One GPT-5.6 Sol run might cost $1.43, while other models could cost upwards of $9.00 for the same task.” (2026-09-15) →
- 200,000 tokens — “Twelve models also carry a second, higher price band past a context threshold, mostly at 200,000 tokens and 272,000 for GPT-5.4.” (2026-08-24) →
- $1.43 per run — “One front-end benchmark put GPT-5.6 Sol at $1.43 per run against $9.05 for Fable 5.” (2026-08-19) →
- $1.43 per run — “In contrast, GPT-5.6 Sol, at $1.43 per run, achieves 43.1% accuracy in the same tests, suggesting that while cheaper models may save money upfront, they often result in longer, more costly development processes.” (2026-08-12) →
- $1.43 per run — “For instance, GPT-5.6 Sol, while more expensive at $1.43 per run, shows superior performance with a 43.1% accuracy rate in the same ReactBench tests, which shows that cheaper models may save money upfront but can lead to longer development cycles due to frequent errors and rework.” (2026-08-12) →
- $1.43 — “On ReactBench, one run of GPT-5.6 Sol costs about $1.43 while Fable 5 costs $9.05 for the same work — a gap that no per-token price list would have predicted, because the expensive model is not six times more expensive per token, it is six times less efficient at finishing the job.” (2026-08-10) →
All 629 figures, every kind · JSON · CSV
Where these 6 came from
- 1.6 Billion Free Tokens Is a Compression Ratio, Not a Strategy · reply box · telegra.ph
- Chinese Models Are Not 2x Cheaper Once Your Agent Starts Caching · reply box · telegra.ph
- Choosing the Right AI Model for Coding: Cost vs. Efficiency · reply box · telegra.ph
- Claude Code Can Model a Flange but Not a Freeform Surface: A Six-Step Handoff Checklist for Non-Code Agent Output · reply box · telegra.ph
- The Token Cost War: Why Price per Million Tokens Now Decides the AI Market · reply box · telegra.ph
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