← All models
Online

DeepSeek V4 Pro

DeepSeek · OpenAI-compatible API

deepseek/deepseek-v4-pro-0813

USD / 1M tokens

Input$0.89
Cached Input$0.030
Output$2.69
Context
1M
Tool Calling
✓
Reasoning
✓
Vision
✗
Streaming
✓
OpenAI-compatible API
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.iteracompute.com/v1",
    api_key=os.environ["ITERACOMPUTE_API_KEY"],
)
response = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro-0813",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Catalog snapshot: 2026-10-09. Live prices have not been verified yet.

Overview

Text input, streaming and structured outputs; up to 393,216 output tokens.

Tasks and selection tradeoffs

Complex change review

Review invariants, failure paths and test gaps in a proposed refactor.

Large text-context reasoning

Compare distant source sections and require line references for conclusions.

Task suggestions based on catalog features and price, not model quality benchmarks.

Choose your tool

Choose a model and tool for your task →

Pricing

Prices in USD per 1M tokens.

Input$0.89
Cached Input$0.030
Output$2.69

Example task: Review a large change and its tests

Assume 60,000 aggregate input tokens and 5,000 billable output tokens across all calls. No cache hit.

60,000 × $0.89 / 1M + 5,000 × $2.69 / 1M = $0.066850

If usage actually reports 45,000 of those input tokens as cached, replace that portion at the cached-input rate ($0.030/1M): $0.028150. Cached tokens are part of total input, never added on top.

Illustrative calculation using the October 9, 2026 catalog snapshot, not a measured bill or promised task size. Live rates above may differ. Include every agent call and retry, repeated history and billable reasoning output; settle against actual usage and Console records.

Known limits and verification scope

  • Text-only. Input and output cost more than V4.1 Flash in this snapshot; compare solved-task cost before choosing Pro. A larger context declaration does not prove retrieval accuracy.
  • Catalog context: 1,048,576 tokens. Input and requested output share the context budget; this is not a measured usable boundary.
  • The context and capability flags describe the public catalog. They do not establish a particular tool workflow or a quality score.
  • Start with one representative task. Check correctness, actual usage and response time before increasing traffic.
  • This page has no recorded end-to-end tool validation for this model. The integration examples let you run and record your own check.

Verified parameters and open questions

Parameter / protocol fieldEvidence status
model / messagesRequest example only; not live-verified for this model
tools / tool_calls / tool messagesCatalog lists tool calling; argument and result cycle unverified
chat_template_kwargs.enable_thinking=falseQwen-specific option; do not copy to this model
stream / temperature / top_p / max_tokens / response_format / reasoning_effortNo verified values recorded for this exact model ID

A catalog capability flag is not a tested parameter value. Omit optional controls until checked with your exact model ID; an HTTP 200 alone does not prove the option took effect.

API

Base URL
https://api.iteracompute.com/v1
Endpoint
POST /v1/chat/completions
Model ID
deepseek/deepseek-v4-pro-0813
Authentication
Authorization: Bearer ITERACOMPUTE_API_KEY

View Docs

FAQ

How do I use DeepSeek V4 Pro with the OpenAI SDK?

Set base_url to https://api.iteracompute.com/v1 and model to deepseek/deepseek-v4-pro-0813. Authenticate with your IteraCompute API key.

What does DeepSeek V4 Pro cost?

See the pricing section for current input, cached-input and output rates in USD per 1M tokens. Check the refresh time before use.

What context length is available?

1,048,576 tokens.

Ready for your first request?

Create your key, choose a tool and get a non-empty first reply.