DeepSeek V4 Pro pricing for code refactoring

Quick start

Call DeepSeek V4 Pro with the OpenAI Python SDK pointed at api.deepseek.com:

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.deepseek.com/v1",
    api_key=os.environ["DEEPSEEK_API_KEY"],
)
response = client.chat.completions.create(
    model="deepseek-v4-pro",
    max_tokens=4000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0106 per call at standard rates
# Input:  $0.66/MTok
# Output: $1.98/MTok

How DeepSeek V4 Pro compares on cost

Per-call cost for all models scoring 50+ on code refactoring benchmarks. Hover for details.

Highest-quality affordable option: Claude Haiku 4.5 at $0.0240/call (2.3x the cost, 72/100 quality). DeepSeek V4 Pro is already the cheapest choice for code refactoring.

What drives code refactoring cost

Refactoring sends existing code and gets a rewritten version back, so input and output are roughly symmetric, unusual for a code task. That symmetry means neither rate dominates and total cost tracks the size of the file. The practical lever is scope: refactoring one module per call rather than a whole package keeps you off the long-context pricing tier, where some providers re-rate the entire request.

For DeepSeek V4 Pro specifically, that means output tokens cost 3.0x more than input, at $1.98 vs $0.66 per MTok. At this use case’s 4,000/4,000 token split, output accounts for 75% of the $0.0106 per-call cost.

DeepSeek V4 Pro quality benchmarks for code refactoring

Benchmark data for code refactoring is pending for DeepSeek V4 Pro. Test against your own evaluation suite before moving to production.

Benchmark data is not yet available for DeepSeek V4 Pro. We recommend testing against your own evaluation criteria.

About DeepSeek V4 Pro

Prices are off-peak rates from api-docs.deepseek.com (read 2026-10-11). Peak-hour prices are 2x the listed input and output rates — Tokeven does not model time-of-day tiers; off-peak is used as the base. Cache hit: $0.022/MTok input. No batch discount published. Not yet benchmarked, so never recommended.

Other models from DeepSeek

You can compare DeepSeek V4 Pro head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions