Meta · Open weights
Llama 3.3 70b Instruct
Llama 3.3 is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.05
- Output
- $0.23
Reference prices as published by the model provider. API example
Specifications
- Context window
- 131.1K
- Max output
- 16.4K
- Average output (7 days)
- 37 tokens
- Longer than 2% of 473 models
Side by side
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Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
7.7
Better than 11% of 326 scored models
Indexes
Coding Index
11.9Composite of the coding evaluations
Better than 7% of 168 scored models
Math Index
7.7Composite of the math evaluations
Better than 8% of 118 scored models
Document reasoning
AA-LCRv1.1
15.7%Reasoning across long documents
Better than 5% of 309 scored models
Reasoning and knowledge
Humanity’s Last Exam
3.6%Expert-level questions across academic fields
Better than 2% of 323 scored models
GPQA Diamond
49.8%Graduate-level science questions
Better than 8% of 291 scored models
MMLU-Pro
71.3%Multi-subject knowledge and reasoning
Better than 24% of 132 scored models
IFBench
47.1%Following precise output instructions
Better than 42% of 215 scored models
Coding
LiveCodeBench
28.8%Recent competitive programming problems
Better than 16% of 129 scored models
Math
AIME 2025
7.7%Competition mathematics, 2025 problems
Better than 8% of 118 scored models
AIME
30.0%Competition mathematics
Better than 40% of 72 scored models
MATH-500
77.3%Competition math problems
Better than 26% of 73 scored models
Legacy evaluations
Terminal-Bench Hard
3.0%Earlier terminal task suite
Better than 6% of 212 scored models
τ²-Bench Telecom
26.6%Tool use in a customer-support simulation
Better than 16% of 214 scored models
AA-LCR (unversioned)
15.7%Long-context reasoning, earlier grading
Better than 5% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 10.4 tok/s
- Faster than 0% of 260 models
- Time to first token
- 4.4 s
- Quicker than 37% of 260 models
- Prompt cache hits
- 0.0%
- Request success (24h)
- 99.9%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
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": "meta-llama/llama-3.3-70b-instruct",
"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="meta-llama/llama-3.3-70b-instruct",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Meta
Related models
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