NVIDIA: Nvidia Nemotron 70b
llama-3.1-nemotron-70b-instruct-hf
Nvidia Nemotron 70b costs $0.464 per million input tokens and $0.530 per million output tokens, supports 16K context, and is available through the OpenAI-compatible API.
Nvidia's latest Llama fine-tune optimized for instruction following. Early results hints that it might outperform models such as GPT-4o and Claude 3.5 Sonnet.
Modalities
Text → Text
Input / output price
$0.464 / $0.530 per 1M
Context
16K · max output 8K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $0.464 |
| Output | $0.530 |
| Cached input | $0.232 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00182
- Per day
- $0.9083
- Per month (30 days)
- $27.25
Nvidia Nemotron 70b: input $0.4641/M · output $0.5304/M · cached input $0.2321/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "llama-3.1-nemotron-70b-instruct-hf", "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 llama-3.1-nemotron-70b-instruct-hf.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "llama-3.1-nemotron-70b-instruct-hf",
"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 Nvidia Nemotron 70b billed?
- Input is $0.464 and output is $0.530 per million tokens; cached input is $0.232. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 16K 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.