Meta, released Sep 25, 2024

Llama-3.2-1Bprice, context, benchmarks and release details

Provisional: not enough results to rank yet Open weights 93% confidence, 2 of 4 expected sources in

32.1

SI Score

#138 of 142 ranked models

Input, per 1M tokens: not yet reported
Output, per 1M tokens: not yet reported
Context window: 131K
Max output: 8.2K
Released: Sep 25, 2024

How the score breaks down

Coding —

Math 0.6

Preference 32.6

Reasoning 23.9

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

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
140 GPT-4o 31.2

Full leaderboard

Benchmark results

3 benchmarks, 3 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 23.9% 23.9

OTIS Mock AIME 2024–2025math 0.6% 0.6

LMArena Textpreference 1054.6 elo 32.6

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: Llama 3.2 Community License
Input modalities: text
First seen by SuperIndex: Oct 8, 2026
Coverage: 75% of expected source weight

Reported (2)

Epoch AI BenchmarkingOct 8, 2026
LMArena / ArenaOct 8, 2026

Awaiting (2)

Official model cards via models.dev7% of weight
LiveBench19% of weight

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