GPT 5.4 vs Deepseek V4 Flash Vision Exp pricing
Side-by-side token pricing for GPT 5.4 (OpenAI) and Deepseek V4 Flash Vision Exp (DeepSeek), 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 | Deepseek V4 Flash Vision Exp |
|---|---|---|
| Input $/1M tokens | $2.5 | $0.3 |
| Output $/1M tokens | $15 | $1.2 |
| Cached input $/1M | $0.25 | $0.006 |
| Context window | 1.1M | 1M |
| Max output | 128K | 393K |
| Vision | yes | yes |
| Tool calling | yes | yes |
| Cache pricing | yes | yes |
Total cost by workload
| Workload | GPT 5.4 | Deepseek V4 Flash Vision Exp | Cheaper |
|---|---|---|---|
| 1M tokens in · 300K out | $7 | $0.66 | Deepseek V4 Flash Vision Exp (91% less) |
| 10M tokens in · 3M out | $70 | $6.6 | Deepseek V4 Flash Vision Exp (91% less) |
| 100M tokens in · 30M out | $700 | $66 | Deepseek V4 Flash Vision Exp (91% less) |
On blended cost (weighted 3:1 toward input), Deepseek V4 Flash Vision Exp comes out cheaper by roughly 88% on input pricing. Pick Deepseek V4 Flash Vision Exp 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 Deepseek V4 Flash Vision Exp?
On input pricing, Deepseek V4 Flash Vision Exp is cheaper ($0.3 vs $2.5 per 1M tokens). On blended cost the winner is Deepseek V4 Flash Vision Exp, 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.