GPT 5.4 vs Labs Leanstral 1 5 1 pricing
Side-by-side token pricing for GPT 5.4 (OpenAI) and Labs Leanstral 1 5 1 (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 5.4 | Labs Leanstral 1 5 1 |
|---|---|---|
| Input $/1M tokens | $2.5 | free |
| Output $/1M tokens | $15 | free |
| Cached input $/1M | $0.25 | — |
| Context window | 1.1M | 262K |
| Max output | 128K | 131K |
| Vision | yes | no |
| Tool calling | yes | yes |
| Cache pricing | yes | no |
Total cost by workload
| Workload | GPT 5.4 | Labs Leanstral 1 5 1 | Cheaper |
|---|---|---|---|
| 1M tokens in · 300K out | $7 | free | Labs Leanstral 1 5 1 (100% less) |
| 10M tokens in · 3M out | $70 | free | Labs Leanstral 1 5 1 (100% less) |
| 100M tokens in · 30M out | $700 | free | Labs Leanstral 1 5 1 (100% less) |
On blended cost (weighted 3:1 toward input), Labs Leanstral 1 5 1 comes out cheaper. Pick Labs Leanstral 1 5 1 when the workload is price-sensitive and its context window covers your prompts; GPT 5.4 is the one to benchmark if you need vision, reasoning depth, or a different quality profile.
Frequently asked
› Is GPT 5.4 cheaper than Labs Leanstral 1 5 1?
On input pricing, Labs Leanstral 1 5 1 is cheaper (free vs $2.5 per 1M tokens). On blended cost the winner is Labs Leanstral 1 5 1, because output tokens are weighted differently for most workloads.
› Which has the larger context window?
GPT 5.4 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.