DeepSeek V4 Pro Abliterated pricing
| Model / exact API ID | Variant | Input | Cached input | Output | Context | Availability |
|---|---|---|---|---|---|---|
DeepSeek V4 Pro Abliterateddeepseek-v4-pro-abliterated | abliterated | $0.4 | $0.04 | $1.6 | 1,000,000 tokens | preview |
Cache-write rate: $0.4 per million tokens.
Prices are USD per million tokens. Cached input uses the cache-read rate when a cache hit is reported.
Compare variants
| Model / exact API ID | Variant | Input | Cached input | Output | Context | Availability |
|---|---|---|---|---|---|---|
DeepSeek V4 Pro Abliterateddeepseek-v4-pro-abliterated | abliterated | $0.4 | $0.04 | $1.6 | 1,000,000 tokens | preview |
DeepSeek V4 Prodeepseek-v4-pro | standard | $0.15 | $0.0016 | $0.3 | Not published | preview |
DeepSeek V4 Pro Uncensoreddeepseek-v4-pro-uncensored | uncensored | $0.2 | $0.0016 | $0.4 | Not published | preview |
API compatibility and context
- Exact model ID
deepseek-v4-pro-abliterated- Variant
- abliterated
- Supported API
- OpenAI-compatible Chat Completions
- Availability
- preview
- Context window
- 1,000,000 tokens
- Maximum input
- Not published
- Maximum output
- 128,000 tokens
Use DeepSeek V4 Pro Abliterated through the API
Create a RouterHub account, add prepaid credits and create an API key. Set ROUTERHUB_API_KEY locally, then send a first request with the exact model ID below.
cURL
curl --connect-timeout 30 --max-time 600 https://routerhub.si/v1/chat/completions \
-H "Authorization: Bearer $ROUTERHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepseek-v4-pro-abliterated","messages":[{"role":"user","content":"Write a short noir scene set in a lighthouse."}],"max_tokens":256}'Python
Install openai with pip. The examples request 256 output tokens and disable automatic retries. Check Usage after completion or a timeout before resending a paid request.
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["ROUTERHUB_API_KEY"],
base_url="https://routerhub.si/v1",
timeout=600.0,
max_retries=0,
)
response = client.chat.completions.create(
model="deepseek-v4-pro-abliterated",
messages=[{"role": "user", "content": "Write a short noir scene set in a lighthouse."}],
max_tokens=256,
)
print(response.choices[0].message.content)DeepSeek V4 Pro Abliterated FAQ
What is DeepSeek V4 Pro Abliterated?
DeepSeek V4 Pro Abliterated is the abliterated variant of DeepSeek’s DeepSeek V4 Pro, with weight-level refusal reduction.
How much does DeepSeek V4 Pro Abliterated cost?
RouterHub charges $0.4 input / $0.04 cached / $1.6 output per million tokens. Usage is billed against your prepaid balance.
What is the DeepSeek V4 Pro Abliterated context window?
Context window: 1,000,000 tokens. Maximum input: Not published. Maximum output: 128,000 tokens.
Which API does DeepSeek V4 Pro Abliterated support?
Use OpenAI-compatible Chat Completions with the exact model ID deepseek-v4-pro-abliterated and your RouterHub API key.
Which variants can I compare with DeepSeek V4 Pro Abliterated?
Compare DeepSeek V4 Pro Abliterated with DeepSeek V4 Pro, DeepSeek V4 Pro Uncensored. The comparison table includes their input, cached input, output and context.
Explore models and setup
- Uncensored modelsBrowse uncensored models and compare prices.
- Abliterated modelsBrowse abliterated models and compare prices.
- DeepSeek V4 ProModel details, token prices and API setup.
- DeepSeek V4 Pro UncensoredModel details, token prices and API setup.
- Uncensored vs abliteratedCompare the techniques and model variants.
- DeepSeek model guideContinue with the full setup guide.
- Model catalogue and pricesMachine-readable model IDs and token rates.