Meta: Llama 3 70B abliterated
meta-llama-3-70b-instruct-abliterated-v3.5
Llama 3 70B abliterated costs $0.910 per million input tokens and $0.910 per million output tokens, supports 8K context, and is available through the OpenAI-compatible API.
An abliterated (removed restrictions and censorship) version of Llama 3.1 70b.
Modalities
Text → Text
Input / output price
$0.910 / $0.910 per 1M
Context
8K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $0.910 |
| Output | $0.910 |
| Cached input | $0.455 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00346
- Per day
- $1.73
- Per month (30 days)
- $51.87
Llama 3 70B abliterated: input $0.91/M · output $0.91/M · cached input $0.455/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "meta-llama-3-70b-instruct-abliterated-v3.5", "max_tokens": 800,
"messages": [{"role": "user", "content": "…"}]}'Code samples
OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to meta-llama-3-70b-instruct-abliterated-v3.5.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama-3-70b-instruct-abliterated-v3.5",
"stream": true,
"messages": [{"role": "user", "content": "Hello"}]
}'Use it in a client: Cursor · Cline · SillyTavern · Codex
Parameters
Common OpenAI parameters can be passed as-is.
temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseedFAQ
- How is Llama 3 70B abliterated billed?
- Input is $0.910 and output is $0.910 per million tokens; cached input is $0.455. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 8K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
- Does it support streaming?
- Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.