GPT Daybreak Blue vs Gemini Exp 1206 pricing
Side-by-side token pricing for GPT Daybreak Blue (OpenAI) and Gemini Exp 1206 (Google Gemini), plus the total cost at three workload sizes so the crossover point is obvious. Prices refreshed 2026-09-13 13:40 UTC.
| Metric | GPT Daybreak Blue | Gemini Exp 1206 |
|---|---|---|
| Input $/1M tokens | $4 | free |
| Output $/1M tokens | $20 | free |
| Cached input $/1M | $0.4 | — |
| Context window | 1.1M | 2.1M |
| Max output | 128K | 8K |
| Vision | yes | yes |
| Tool calling | yes | yes |
| Cache pricing | yes | no |
Total cost by workload
| Workload | GPT Daybreak Blue | Gemini Exp 1206 | Cheaper |
|---|---|---|---|
| 1M tokens in · 300K out | $10 | free | Gemini Exp 1206 (100% less) |
| 10M tokens in · 3M out | $100 | free | Gemini Exp 1206 (100% less) |
| 100M tokens in · 30M out | $1000 | free | Gemini Exp 1206 (100% less) |
On blended cost (weighted 3:1 toward input), Gemini Exp 1206 comes out cheaper. Pick Gemini Exp 1206 when the workload is price-sensitive and its context window covers your prompts; GPT Daybreak Blue is the one to benchmark if you need vision, reasoning depth, or a different quality profile.
Frequently asked
› Is GPT Daybreak Blue cheaper than Gemini Exp 1206?
On input pricing, Gemini Exp 1206 is cheaper (free vs $4 per 1M tokens). On blended cost the winner is Gemini Exp 1206, because output tokens are weighted differently for most workloads.
› Which has the larger context window?
Gemini Exp 1206 offers the larger context (2.1M tokens).
› Do these prices include prompt caching?
Cached input is priced separately where a provider publishes a cache rate; the table above lists it per model so the comparison stays like-for-like.