Llama 3.05 Nemotron Tenyxchat Storybreaker 70B API

Meta's Llama 3.05 Nemotron Tenyxchat Storybreaker 70B, 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-3.05-nemotron-tenyxchat-storybreaker-70b 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-3.05-nemotron-tenyxchat-storybreaker-70b
Maker: Meta
Context window: 16.4K tokens
Input price: $0.494 per million tokens
Output price: $0.494 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.494 input and $0.494 output per million tokens, $0.494 cache read per million tokens, 16.4K 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-3.05-nemotron-tenyxchat-storybreaker-70b",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Llama 3.05 Nemotron Tenyxchat Storybreaker 70B?: Llama 3.05 Nemotron Tenyxchat Storybreaker 70B is a model from Meta.
How much does Llama 3.05 Nemotron Tenyxchat Storybreaker 70B cost?: Offers now ask $0.494 per million input tokens and $0.494 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 3.05 Nemotron Tenyxchat Storybreaker 70B?: The largest offer takes 16,384 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Llama 3.05 Nemotron Tenyxchat Storybreaker 70B 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 3.05 Nemotron Tenyxchat Storybreaker 70B support?: Text → Text.
Which providers serve Llama 3.05 Nemotron Tenyxchat Storybreaker 70B?: 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 3.05 Nemotron Tenyxchat Storybreaker 70B?: Send "llama-3.05-nemotron-tenyxchat-storybreaker-70b" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Llama 3.05 Nemotron Tenyxchat Storybreaker 70B listed?: The exchange first listed it on 10/10/2026. This is not its release date.

Llama 3.05 Nemotron Tenyxchat Storybreaker 70B API

Facts

Providers

Request

Questions

Related pages