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 | Muse Spark OpenMetaRemove | |
|---|---|---|
| Provider | Meta | Meta |
| Discovery tier | Open weights | Frontier |
| Added | Jan 1, 2024 | Oct 15, 2026 |
| Limits | ||
| Context window | 32.77K | 1.05MBest |
| Average output | — | 1.3K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.49Best | $1.25 |
| Output | $0.49Best | $4.25 |
| Cache read | — | $0.15 |
| Benchmark indexes | ||
| Intelligence Index | — | 38.9 |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | No | Yes |
| Structured output | No | Yes |
| Reasoning effort | — | low, medium, high, xhigh |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Llama 3.1 70B Celeste v0.1
- Muse Spark Open
Intelligence Index
- Llama 3.1 70B Celeste v0.1—
- Muse Spark Open38.9
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 49.7%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 20.9%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 1,279 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 1,401 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 18.6%
AA-LCRv1.1
Reasoning across long documents
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 78.3%
MLCR-AA
Long-context reasoning over medical records
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 7.8%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 43.9%
GPQA Diamond
Graduate-level science questions
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 89.0%
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 8.1%
SciCode
Scientific computing in Python
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 58.4%
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Llama 3.1 70B Celeste v0.1: —
- Muse Spark Open: 78.3%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- Llama 3.1 70B Celeste v0.1
- Muse Spark Open
| Leaderboard | Llama 3.1 70B Celeste v0.1 | Muse Spark Open |
|---|---|---|
| Website | Not in top 20 | #15 · 1306 |
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
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
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