THE TICKER · HEAD-TO-HEAD · CHECKED DAILY · LAST CHANGE 2026-10-26
GPT-6.1 TERRA VS GPT-6 SOL
OpenAI vs OpenAI, in USD per million tokens, cross-checked daily against the public pricing dataset. Same jobs, both meters running.
GPT-6 Sol costs 2.0x more than GPT-6.1 Terra for the same job — a 1,000-token prompt with a 3,000-token reply runs $0.03 vs $0.02. At 1,000 runs a day, that gap is $480.00 a month for identical traffic.
SIDE BY SIDE
| GPT-6.1 Terra → | GPT-6 Sol → | |
|---|---|---|
| Vendor | OpenAI | OpenAI |
| Input / MTok | $1.00 | $2.00 |
| Output / MTok | $5.00 | $10.00 |
| Output multiple | 5.0x | 5.0x |
| 1K prompt + 3K reply | $0.02 | $0.03 |
SAME JOB, BOTH BILLS
| Scenario | GPT-6.1 Terra | GPT-6 Sol | Gap |
|---|---|---|---|
| A typical prompt | $0.0048 | $0.0096 | 2.0x |
| A 20-turn conversation | $0.02 | $0.05 | 2.0x |
| Summarizing a 10-page document | $0.02 | $0.05 | 2.0x |
| One agent run | $0.06 | $0.12 | 2.0x |
| A code review request | $0.02 | $0.04 | 2.0x |
Output sizes use the same editorial ratios as the Burn Calculator. Estimates, not invoices — and price is not a benchmark: the cheaper model is only a bargain if it does the job.
SETTLE IT WITH YOUR OWN PROMPT
Paste a real prompt into the Burn Calculator and see what it costs on GPT-6.1 Terra, GPT-6 Sol and the other 35 models on the board — plus how much of it is waste either way.