THE TICKER · HEAD-TO-HEAD · CHECKED DAILY · LAST CHANGE 2026-07-11
GPT-5.6 VS GEMINI 3.1 PRO
OpenAI vs Google, in USD per million tokens, verified daily against public list prices. Same jobs, both meters running.
THE VERDICT
2.5x
GPT-5.6 costs 2.5x more than Gemini 3.1 Pro for the same job — a 1,000-token prompt with a 3,000-token reply runs $0.10 vs $0.04. At 1,000 runs a day, that gap is $1,710.00 a month for identical traffic.
SIDE BY SIDE
| GPT-5.6 → | Gemini 3.1 Pro → | |
|---|---|---|
| Vendor | OpenAI | |
| Input / MTok | $5.00 | $2.00 |
| Output / MTok | $30.00 | $12.00 |
| Output multiple | 6.0x | 6.0x |
| 1K prompt + 3K reply | $0.10 | $0.04 |
SAME JOB, BOTH BILLS
| Scenario | GPT-5.6 | Gemini 3.1 Pro | Gap |
|---|---|---|---|
| A typical prompt | $0.03 | $0.01 | 2.5x |
| A 20-turn conversation | $0.14 | $0.06 | 2.5x |
| Summarizing a 10-page document | $0.14 | $0.05 | 2.5x |
| One agent run | $0.37 | $0.15 | 2.5x |
| A code review request | $0.12 | $0.05 | 2.5x |
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-5.6, Gemini 3.1 Pro and the other 10 models on the board — plus how much of it is waste either way.