per 1M tokens
deepseek-ai/DeepSeek-V4-Pro
deepinfra/deepseek-ai/DeepSeek-V4-Pro
DeepSeek V4 Pro is an MoE model with 1.6T total parameters (49B active) and a 1M-token context window. It's built for advanced reasoning, coding, and long-running agent tasks, and performs well on knowledge, math, and software engineering benchmarks.
Price
per 1M tokens
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
No provider prices yet.
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$3.90 at list price for this workload
Cache
per 1M tokens
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $1.3/1M | $2.6/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $1.3 | $2.6 | Not published— |
| 2026-10-09 | token | $1.3 | $2.6 | Not published— |
| 2026-10-10 | token | $1.3 | $2.6 | Not published— |
| 2026-10-11 | token | $1.3 | $2.6 | Not published— |
| 2026-10-12 | token | $1.3 | $2.6 | Not published— |
| 2026-10-13 | token | $1.3 | $2.6 | Not published— |
| 2026-10-14 | token | $1.3 | $2.6 | Not published— |
| 2026-10-15 | token | $1.3 | $2.6 | Not published— |
| 2026-10-16 | token | $1.3 | $2.6 | Not published— |
| 2026-10-17 | token | $1.3 | $2.6 | Not published— |
| 2026-10-18 | token | $1.3 | $2.6 | Not published— |
| 2026-10-19 | token | $1.3 | $2.6 | Not published— |
| 2026-10-20 | token | $1.3 | $2.6 | Not published— |
| 2026-10-21 | token | $1.3 | $2.6 | Not published— |
| 2026-10-22 | token | $1.3 | $2.6 | Not published— |
| 2026-10-23 | token | $1.3 | $2.6 | Not published— |
| 2026-10-24 | token | $1.3 | $2.6 | Not published— |
| 2026-10-25 | token | $1.3 | $2.6 | Not published— |
| 2026-10-26 | token | $1.3 | $2.6 | Not published— |
| 2026-10-27 | token | $1.3 | $2.6 | Not published— |
| 2026-10-28 | token | $1.3 | $2.6 | Not published— |
| 2026-10-29 | token | $1.3 | $2.6 | Not published— |
| 2026-10-30 | token | $1.3 | $2.6 | Not published— |
Alternatives
- deepseek-ai/DeepSeek-V4-Pro-0813$1.3/1M · Compare
- glm-5.2$1.3/1M · Compare
- @cf/deepseek-ai/deepseek-v4-pro-0813$1.32/1M · Compare
- DeepSeek V4 Pro 0813$1.32/1M · Compare
- DeepSeek V4 Pro 0813$1.32/1M · Compare
- DeepSeek V4 Pro 0813$1.32/1M · Compare
Parameters (2)
Call this model
OpenRouter id deepinfra/deepseek-ai/DeepSeek-V4-Pro. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepinfra/deepseek-ai/DeepSeek-V4-Pro","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "deepinfra/deepseek-ai/DeepSeek-V4-Pro",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "deepinfra/deepseek-ai/DeepSeek-V4-Pro", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())