Models

Llama 3.2 Instruct 11B (Vision)

MetaMetaUnited States

This is an 11B parameter multimodal instruct model from Meta's Llama 3.2 series, optimized for vision tasks. It balances performance with efficiency, offering faster inference speeds than larger models, and is suitable for conversational and instruction-following scenarios requiring image understanding.

MultimodalReasoningFastCheap
Input / 1M tokens
$0.345
Output / 1M tokens
$0.345
Output tokens/s
66.57
First-token seconds
0.59s
Supported plans
0

Benchmark history

Evaluations

14

TAU2

Measured Jul 10, 2026Source

Score

0.15

Terminalbench Hard

Measured Jul 10, 2026Source

Score

0.01

Lcr

Measured Jul 10, 2026Source

Score

0.12

Ifbench

Measured Jul 10, 2026Source

Score

0.3

Aime 25

Measured Jul 10, 2026Source

Score

0.02

Aime

Measured Jul 10, 2026Source

Score

0.09

Math 500

Measured Jul 10, 2026Source

Score

0.52

Scicode

Measured Jul 10, 2026Source

Score

0.11

Livecodebench

Measured Jul 10, 2026Source

Score

0.11

Hle

Measured Jul 10, 2026Source

Score

0.05

Gpqa

Measured Jul 10, 2026Source

Score

0.22

Mmlu Pro

Measured Jul 10, 2026Source

Score

0.46

Artificial Analysis Math Index

Measured Jul 10, 2026Source

Score

1.7

Artificial Analysis Intelligence Index

Measured Jul 10, 2026Source

Score

3.3

Plan availability

Products and plans that support this model

0
No products or plans have been linked to this model yet.

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