GPT Daybreak Blue vs Mistral Small 2603 pricing
Side-by-side token pricing for GPT Daybreak Blue (OpenAI) and Mistral Small 2603 (Mistral AI), 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 | Mistral Small 2603 |
|---|---|---|
| Input $/1M tokens | $4 | $0.15 |
| Output $/1M tokens | $20 | $0.6 |
| Cached input $/1M | $0.4 | $0.015 |
| Context window | 1.1M | 262K |
| Max output | 128K | 262K |
| Vision | yes | yes |
| Tool calling | yes | yes |
| Cache pricing | yes | no |
Total cost by workload
| Workload | GPT Daybreak Blue | Mistral Small 2603 | Cheaper |
|---|---|---|---|
| 1M tokens in · 300K out | $10 | $0.33 | Mistral Small 2603 (97% less) |
| 10M tokens in · 3M out | $100 | $3.3 | Mistral Small 2603 (97% less) |
| 100M tokens in · 30M out | $1000 | $33 | Mistral Small 2603 (97% less) |
On blended cost (weighted 3:1 toward input), Mistral Small 2603 comes out cheaper by roughly 96% on input pricing. Pick Mistral Small 2603 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 Mistral Small 2603?
On input pricing, Mistral Small 2603 is cheaper ($0.15 vs $4 per 1M tokens). On blended cost the winner is Mistral Small 2603, because output tokens are weighted differently for most workloads.
› Which has the larger context window?
GPT Daybreak Blue offers the larger context (1.1M 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.