DeepSeek-V4-Pro-0813
DeepSeek-V4-Pro-0813 API pricing
DeepSeek-V4-Pro-0813 costs $0.264 per million input tokens and $0.792 per million output tokens on Oxyy. These are the pay-as-you-go prices after the current 60% discount (Launch Promo; standard price $0.660 input and $1.98 output), and cached input tokens are billed at $0.0088 per million. It accepts text and returns text, with a 1M-token context window and up to 384K output tokens per response. A cheaper DeepSeek option is DeepSeek-V4.1-Flash at $0.060 / $0.240 per 1M tokens; for every model and rate, see DeepSeek API pricing.
Providers
Where this model runs, and what each route costs. Requests are sent to a healthy provider automatically; if one errors, the gateway retries against another serving the same model.
| Provider | Input /M | Output /M | Cache read /M | Latency | Throughput |
|---|---|---|---|---|---|
| DeepSeek | $0.264 | $0.792 | $0.0088 | 26.73s | 96 tps |
Capabilities (13)
Supported parameters (2)
A parameter not listed here may be removed before the request reaches the model. When it is, the request still succeeds and the response names it, with the reason, in provider_specific_fields.dropped_params. Thinking controls work as described below whether or not they are listed.
Thinking
Thinking can be turned off: send reasoning_effort: "none", or thinking: {type: "disabled"}. reasoning_effort takes minimal, low, medium, high, xhigh, max, each mapped to the level the model uses for it where the model's levels are known (sometimes a higher level than the word asked for, or off); when it differs, the response names the level used in provider_specific_fields.dropped_params.
Pricing
What this model costs on Oxyy, pay as you go. "Charged" is the rate a request is billed at; the standard price is shown beside it for reference.
| Rate | Standard price | Charged | Unit |
|---|---|---|---|
| Input | $0.660 | $0.264 | per 1M input tokens |
| Output | $1.98 | $0.792 | per 1M output tokens |
| Cached input | $0.022 | $0.0088 | per 1M cached input tokens |
Discount. Charged rates include the current "Launch Promo" discount of 60% on every rate.
Specifications
- Model ID
deepseek-v4-pro- Developer
- DeepSeek
- Type
- Text
- Input
- Text
- Output
- Text
- Context window
- 1,000,000 tokens
- Max output
- 384,000 tokens
- Released
- Aug 13, 2026
- Tokenizer
- DeepSeek
- Series
- DeepSeek V4
- Endpoint
/v1/chat/completions
Best for
Quickstart
Call deepseek-v4-pro with a POST to /v1/chat/completions on https://api.oxyy.ai, using your Oxyy API key from the OXYY_API_KEY environment variable. The same key works for every model in the catalog.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.oxyy.ai/v1",
api_key=os.environ["OXYY_API_KEY"],
)
response = client.chat.completions.create(
model="deepseek-v4-pro",
messages=[
{"role": "user", "content": "Explain unified AI APIs in one sentence."},
],
)
print(response.choices[0].message.content)Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better). Throughput and TTFT are measured on streaming requests, which are the only ones with a first-token moment to time.
Throughput
Latency
Time to first token
Cache hit rate
Availability
The share of requests to this model that completed successfully over the last 30 days. Requests the caller cancelled, and requests still in flight, are not counted. When an upstream provider errors, the gateway retries against another provider serving the same model, so a single provider incident does not necessarily show up here.
Days are UTC days. Days with no completed requests are omitted rather than drawn at 100% — no traffic is not evidence of availability.
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
- 1.Z Code@electron 2.6M tokens
Activity
Token volume and request traffic to this model over time. Daily totals, UTC.
Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. They are part of the output, so the completion bars show the rest of it and each day’s bar is its total.
Frequently asked questions
What is DeepSeek-V4-Pro-0813?
How much does DeepSeek-V4-Pro-0813 cost?
What is the context length of DeepSeek-V4-Pro-0813?
Does DeepSeek-V4-Pro-0813 support tool calling and structured outputs?
What inputs and outputs does DeepSeek-V4-Pro-0813 support?
Which API endpoint does DeepSeek-V4-Pro-0813 use?
When was DeepSeek-V4-Pro-0813 released?
What other models does DeepSeek have?
Alternatives to DeepSeek-V4-Pro-0813
Models of the same kind from other vendors, closest in price first. Prices are pay-as-you-go on Oxyy, through the same API key.