Llama 3.3 70B Instruct Abliterated API

Meta's Llama 3.3 70B Instruct Abliterated, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send llama-3.3-70b-instruct-abliterated as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: llama-3.3-70b-instruct-abliterated
Maker: Meta
Context window: 32.8K tokens
Input price: $0.700 per million tokens
Output price: $0.700 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.700 input and $0.700 output per million tokens, $0.700 cache read per million tokens, 32.8K tokens of context

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.3-70b-instruct-abliterated",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Llama 3.3 70B Instruct Abliterated?: Llama 3.3 70B Instruct Abliterated is a model from Meta.
How much does Llama 3.3 70B Instruct Abliterated cost?: Offers now ask $0.700 per million input tokens and $0.700 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of Llama 3.3 70B Instruct Abliterated?: The largest offer takes 32,768 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Llama 3.3 70B Instruct Abliterated do?: Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Llama 3.3 70B Instruct Abliterated support?: Text → Text.
Which providers serve Llama 3.3 70B Instruct Abliterated?: 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
How do I call Llama 3.3 70B Instruct Abliterated?: Send "llama-3.3-70b-instruct-abliterated" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Llama 3.3 70B Instruct Abliterated listed?: The exchange first listed it on 10/10/2026. This is not its release date.

Llama 3.3 70B Instruct Abliterated API

Facts

Providers

Request

Questions

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