Meta: Llama 3 70B Instruct Abliterated V3.5 API

Meta's Meta: Llama 3 70B Instruct Abliterated V3.5, 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 meta-llama-3-70b-instruct-abliterated-v3.5 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: meta-llama-3-70b-instruct-abliterated-v3.5
Maker: Meta
Context window: 8,192 tokens
Input price: $0.701 per million tokens
Output price: $0.701 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.701 input and $0.701 output per million tokens, $0.701 cache read per million tokens, 8,192 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": "meta-llama-3-70b-instruct-abliterated-v3.5",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Meta: Llama 3 70B Instruct Abliterated V3.5?: Meta: Llama 3 70B Instruct Abliterated V3.5 is a model from Meta.
How much does Meta: Llama 3 70B Instruct Abliterated V3.5 cost?: Offers now ask $0.701 per million input tokens and $0.701 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 Meta: Llama 3 70B Instruct Abliterated V3.5?: The largest offer takes 8,192 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Meta: Llama 3 70B Instruct Abliterated V3.5 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 Meta: Llama 3 70B Instruct Abliterated V3.5 support?: Text → Text.
Which providers serve Meta: Llama 3 70B Instruct Abliterated V3.5?: 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 Meta: Llama 3 70B Instruct Abliterated V3.5?: Send "meta-llama-3-70b-instruct-abliterated-v3.5" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Meta: Llama 3 70B Instruct Abliterated V3.5 listed?: The exchange first listed it on 10/9/2026. This is not its release date.

Meta: Llama 3 70B Instruct Abliterated V3.5 API

Facts

Providers

Request

Questions

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