Meta, released Dec 6, 2024

Llama-3.3-70B-Instructprice, context, benchmarks and release details

Provisional: not enough results to rank yet Open weights 100% confidence, 3 of 4 expected sources in

32.7

SI Score

#137 of 142 ranked models

Input, per 1M tokens: not yet reported
Output, per 1M tokens: not yet reported
Context window: 128K
Max output: 4.1K
Released: Dec 6, 2024

How the score breaks down

Coding 3.0

Math 29.4

Preference 59.2

Reasoning 47.4

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 05:13 UTC.

Around it on the leaderboard

135 Mistral Large 2.1 35.3
136 Mistral Medium 3 33.0
137 Llama-3.3-70B-Instruct 32.7
138 Llama-3.2-1B 32.1
139 GPT-4.1 nano 32.1

Full leaderboard

Benchmark results

5 benchmarks, 5 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

GPQA Diamondreasoning 47.4% 47.4

MATH Level 5math 41.6% 41.6

OTIS Mock AIME 2024–2025math 5.1% 5.1

Terminal-Benchcoding 3% 3.0

LMArena Textpreference 1274.2 elo 59.2

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights: Yes
License: not yet reported
Input modalities: text
First seen by SuperIndex: Oct 8, 2026
Coverage: 81% of expected source weight

Reported (3)

Epoch AI BenchmarkingOct 8, 2026
Official model cards via models.devOct 8, 2026
LMArena / ArenaOct 8, 2026

Awaiting (1)

LiveBench19% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.