DeepSeek-V4-Pro
Pricing & Specs
DeepSeek · $1.32 input / $3.96 output per 1M tokens · 1M context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on DeepSeek-V4-Pro costs about $0.0033 — roughly $3.30 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
DeepSeek-V4-Pro API Pricing
| Tokens | Price |
|---|---|
| Input | $1.32 / 1M tokens |
| Output | $3.96 / 1M tokens |
| Cached input | $0.044 / 1M tokens |
Peak pricing (01:00-04:00 and 06:00-10:00 UTC). Off-peak rates are half of peak rates; registry uses peak.
What that means in practice
DeepSeek-V4-Pro Specs
| Spec | Value |
|---|---|
| Context window | 1M tokens |
| Max output tokens | 384K tokens |
| Input modalities | text |
| Output modalities | text |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
Notes
Runs with thinking mode enabled (high effort) by default. OpenMark uses out-of-the-box default parameters.
FAQ
How much does DeepSeek-V4-Pro cost?
DeepSeek-V4-Pro costs $1.32 per 1M input tokens and $3.96 per 1M output tokens ($0.044 per 1M cached input tokens).
What is DeepSeek-V4-Pro's context window?
DeepSeek-V4-Pro has a 1M-token context window. Maximum output is 384K tokens.
Can I test DeepSeek-V4-Pro on my own task?
Yes. OpenMark lets you benchmark DeepSeek-V4-Pro against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is DeepSeek-V4-Pro the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.