Meta · Open weights
Llama 3.1 70B Celeste v0.1
Creative model based on Llama 3.1 70B
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.49
- Output
- $0.49
Reference prices as published by the model provider. API example
Specifications
- Context window
- 32.8K
- Max output
- —
Side by side
Llama 3.1 70B Celeste v0.1 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Llama 3.1 70B Celeste v0.1MetaThis model | WizardLM-2 8x22BmicrosoftRemove | |
|---|---|---|
| Provider | Meta | microsoft |
| Discovery tier | Open weights | Open weights |
| Added | Jan 1, 2024 | Apr 15, 2025 |
| Limits | ||
| Context window | 32.77K | 65.54KBest |
| Max output | — | 8.19K |
| Pricing, USD per 1M tokens | ||
| Input | $0.49 | $0.49 |
| Output | $0.49 | $0.49 |
| Capabilities | ||
| PDF input | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "nothingiisreal/L3.1-70B-Celeste-V0.1-BF16",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="nothingiisreal/L3.1-70B-Celeste-V0.1-BF16",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Meta
Related models
Other Meta models, starting with the same family.