Models / Uncensored / failspy

Llama 3 70B Abliterated v3.5 API pricing

$2.10 in, $2.10 out per million tokens.

llama-3-70b-abliteratedmanaged routeOpenAI SDK

Price · per million tokens, USD

Tokensfailspy list priceUplinkSwitchSaving
Input—$2.10—
Cached inputBilled at the input rate.
Output—$2.10—
No list price on record. Same price on every host.
Real-model check: No answer at the last check

Llama 3 70B Abliterated v3.5 specs

Context window
8,192 tokens
Input
text

Llama 3 70B Abliterated v3.5: failspy’s orthogonalized Llama · from the author of the abliteration cookbook

Llama 3 70B Abliterated v3.5 is Meta's Llama 3 70B Instruct with orthogonalized weights by failspy, who published a cookbook for the method (its card). The method comes from the paper “Refusal in LLMs is mediated by a single direction”. In v3.5 only one layer is modified, which the card says removed the moralizing disclaimers; it also fixes the tokenizer. It is served as llama-3-70b-abliterated at $2.10 input and $2.10 output per million tokens, one of 49 builds in the uncensored LLM API, on the same key as every other model. Added 2026-10-20.

Llama 3 70B Abliterated v3.5
Base modelLlama 3 70B Instruct
Made byfailspy
MethodOrthogonalized weights, one layer changed
License on the cardllama3
Context window here8,192 tokens
Downloads, 30 days to 2026-10-208,715
Cardfailspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5

From the Hugging Face card and its API record, read 2026-10-20.

curl
curl https://api.uplinkswitch.com/v1/chat/completions \
  -H "authorization: Bearer sk-uplink-live-..." \
  -H "content-type: application/json" \
  -d '{"model":"llama-3-70b-abliterated","max_tokens":1024,"messages":[{"role":"user","content":"Hello"}]}'

Llama 3 70B Abliterated v3.5 next to the other uncensored models · per million tokens, live

ModelHere, in / out1,000 chat turns
GLM-5.3 Flash Uncensored$0.084 / $0.084$0.21
GLM-5.3 Uncensored$0.1746 / $0.1746$0.44
GLM-4.7 Flash Uncensored$0.12 / $0.60$0.54
MythoMax L2 13B$0.303 / $0.303$0.76
Roleplay Uncensored$0.30 / $0.60$0.90
Cydonia 24B v4.3$0.363 / $0.45$0.95
Gemma 4 26B-A4B Uncensored$0.27 / $1.26$1.17
Gemma 4 31B DarkIdol$0.30 / $1.35$1.28
Gemma 4 26B-A4B ChimeraX Heretic$0.363 / $1.14$1.30
Gemma 4 26B-A4B DarkSoul$0.363 / $1.14$1.30
Qwen3.8 27B DarkIdol$0.30 / $1.80$1.50
GLM-5.3 Flash Abliterated$0.66 / $0.66$1.65
GLM-5.3 Flash Apex Abliterated$0.45 / $1.50$1.65
DeepSeek V4 Pro Uncensored$0.75 / $0.75$1.88
Dolphin Mistral 24B Venice Edition$0.50 / $2.25$2.13
Gemma 4 31B Dark Gemistry$0.918 / $0.918$2.30
Gemma 4 31B Gembrain Heretic$0.918 / $0.918$2.30
Gemma 4 31B SDFT Heretic RP$0.918 / $0.918$2.30
Euryale 70B v2.2$0.918 / $1.071$2.37
Cydonia 24B v4.1$0.90 / $1.50$2.55
DeepSeek V4.1 Flash Abliterated$1.05 / $1.05$2.63
Hermes 3 Llama 3.1 70B$1.224 / $1.224$3.06
NeuralDaredevil 8B Abliterated$1.32 / $1.32$3.30
Hermes 4 405B$0.90 / $3.60$3.60
Euryale 70B v2.3$1.479 / $1.479$3.70
Magnum Diamond 24B$1.479 / $1.479$3.70
UnslopNemo 12B v4.1$1.479 / $1.479$3.70
The Omega Directive 24B v2.0$1.50 / $1.50$3.75
Qwen3.8 27B Obliterated$0.75 / $5.25$4.13
Qwen3.8 27B Uncensored$1.25 / $3.75$4.38
ReMM SLERP L2 13B$1.527 / $2.835$4.47
Chat Uncensored$1.50 / $3.00$4.50
DeepSeek R1 Distill Llama 70B Abliterated$2.10 / $2.10$5.25
Llama 3 70B Abliterated v3.5$2.10 / $2.10$5.25
Llama 3.3 70B Abliterated$2.10 / $2.10$5.25
MiMo V2.6 Flash Abliterated$1.50 / $4.50$5.25
MiMo V2.6 Flash Uncensored$1.50 / $4.50$5.25
Qwen2.5 32B Abliterated$2.10 / $2.10$5.25
QwQ 32B Uncensored$1.98 / $3.00$5.46
GLM-5.3 Abliterated$2.25 / $2.25$5.63
EVA Qwen2.5 72B$2.397 / $2.397$5.99
Gemma 31B Heretic Uncensored$1.50 / $8.25$7.13
Aion RP Llama 3.1 8B$2.40 / $4.80$7.20
Lumimaid v0.2 70B$3.00 / $4.50$8.25
DeepSeek R1 Distill Qwen 32B Abliterated$4.20 / $4.20$10.50
Code Pro Uncensored$4.50 / $9.00$13.50
GLM-5.3 Flash Code Uncensored$6.00 / $6.00$15.00
EVA LLaMA 3.33 70B$6.018 / $6.018$15.05
Magnum v4 72B$6.018 / $8.976$16.52

A chat turn is 2,000 input and 500 output tokens. Live from the catalog, ordered by the cost of 1,000 turns.

Worked for Llama 3 70B Abliterated v3.5: 1,000 turns are 2,000,000 input tokens and 500,000 output tokens. At $2.10 input and $2.10 output per million tokens, that is $4.20 + $1.05 = $5.25, paid from prepaid credit with no subscription.

Llama 3 70B Abliterated v3.5 API · base URL and key

Python · OpenAI SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.uplinkswitch.com/v1",
    api_key="sk-uplink-live-...",
)

completion = client.chat.completions.create(
    model="llama-3-70b-abliterated",
    messages=[{"role": "user", "content": "Summarize this in one line."}],
)
print(completion.choices[0].message.content)
TypeScript · OpenAI SDK
import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://api.uplinkswitch.com/v1',
  apiKey: 'sk-uplink-live-...',
});

const completion = await client.chat.completions.create({
  model: 'llama-3-70b-abliterated',
  messages: [{ role: 'user', content: 'Summarize this in one line.' }],
});
console.log(completion.choices[0].message.content);
curl
curl https://api.uplinkswitch.com/v1/chat/completions \
  -H "authorization: Bearer sk-uplink-live-..." \
  -H "content-type: application/json" \
  -d '{"model":"llama-3-70b-abliterated","messages":[{"role":"user","content":"Hello"}]}'

What would it cost? · paste a prompt, priced before you send it

Input is counted at about 4 characters per token.

Cheapest first. A real request is billed on the provider's own token count. Same estimate as JSON: POST https://api.uplinkswitch.com/v1/estimate, no key needed.

Llama 3 70B Abliterated v3.5 questions

What is Llama 3 70B Abliterated v3.5?
Llama 3 70B Abliterated v3.5 is a model from failspy, with a 8,192-token context window, taking text input. Through UplinkSwitch it answers the OpenAI SDK on one key as llama-3-70b-abliterated.
How much does the Llama 3 70B Abliterated v3.5 API cost?
$2.10 per million input tokens and $2.10 per million output tokens.
Is Llama 3 70B Abliterated v3.5 free?
It is pay as you go: prepaid credit from $10, with no subscription or monthly fee, billed per token. A 1,000-token prompt with a 500-token reply costs about $0.0032.
What is the Llama 3 70B Abliterated v3.5 context window?
Llama 3 70B Abliterated v3.5 has a 8,192-token context window. It takes text input.
What is the Llama 3 70B Abliterated v3.5 model id?
llama-3-70b-abliterated. Send it as the model through the OpenAI SDK with base URL https://api.uplinkswitch.com/v1.
How do I get a Llama 3 70B Abliterated v3.5 API key?
Create one in the console at uplinkswitch.ai/console: prepaid credit from $10, no subscription, and the key is live at once. The same key calls Llama 3 70B Abliterated v3.5 and every other model in the catalog; send it as the bearer token with base URL https://api.uplinkswitch.com/v1.
Is there a Llama 3 70B Abliterated v3.5 API?
Yes: llama-3-70b-abliterated on the OpenAI format at https://api.uplinkswitch.com/v1, $2.10 input and $2.10 output per million tokens. No weights to download and no GPU of your own; the key also runs every other model in the catalog.
What is Llama 3 70B Abliterated v3.5 based on?
Meta’s Meta-Llama-3-70B-Instruct, with its weights orthogonalized against the refusal direction by failspy; v3.5 changes a single layer, per its card.
What license does Llama 3 70B Abliterated v3.5 have?
The card’s license tag is llama3, Meta’s Llama 3 license.
What does Llama 3 70B Abliterated v3.5 cost per 100 messages?
$0.525 for 100 chat turns of 2,000 input and 500 output tokens each, at $2.10 input and $2.10 output per million tokens, from prepaid credit with no subscription.
Llama 3 70B Abliterated v3.5 or Llama 3.3 70B Abliterated?
Both are abliterated Llama 70B Instruct models: v3.5 is failspy’s Llama 3, the other huihui-ai’s Llama 3.3 with the longer window. Llama 3 70B Abliterated v3.5 is $2.10 / $2.10 per million tokens in / out, $5.25 for 1,000 chat turns; Llama 3.3 70B Abliterated is $2.10 / $2.10 per million tokens in / out, $5.25 for 1,000 chat turns. Both run on the same key, so send the same prompt to each.
Every uncensored model: Uncensored LLM API. Read: Abliterated models explained.