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Meta · Open weights

Llama 3.3 70B

Added Jul 3, 2025Open weights

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Use in the app

Meta's Llama 3.3 with 70B parameters. TEE-backed inference with provider attestation support.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$1.75
Output
$2.75
Cache read
$1.75

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
16.4K
Average output (7 days)
339 tokens
Longer than 36% of 473 models

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TryQwen2.5 72BSolar Pro 3GPT 4.1 NanoAll 3

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

3.8Catalog models by score55.1

Indexes

  • Coding Index

    11.9

    Composite of the coding evaluations

    Better than 7% of 168 scored models

  • Math Index

    7.7

    Composite 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

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "TEE/llama3-3-70b",
    "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="TEE/llama3-3-70b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Meta

Other Meta models, starting with the same family.