Llama 3.3 70B Instruct AI Model Benchmark Evaluation

Intelligence Index

84.5/ 100

Calibrated multi-domain composite

Throughput Speed

90tok/sec

Output streaming throughput

Time To First Token

310ms

Initial chunk server latency

LiveBench Contam-Free

75.8%

September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets

Logical Reasoning80.5%

Coding & Repo Repair75.5%

Mathematics (AIME)79.5%

Data Analysis & Tables73.5%

Language & Comprehension73.0%

Instruction Following72.5%

Sourced Benchmark Evaluations (3)

Verified performance across authoritative benchmarks with provenance tracking.

Benchmark	Status	Score	Trust	Date	Source Type	Provenance
ARC-AGI-2	Nearing Saturation	62.8%	75	2025-01-03	independent	Source ↗
SWE-bench Verified	Saturated	59.3%	25	2024-12-15	independent	Source ↗
IFEval	Deprecated	72.5%	25	2024-12-10	independent	Source ↗

OpenAI Compatible API ExecutionAPI Ready

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="llama-3-3-70b-instruct",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for Llama 3.3 70B Instruct represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.