Llama 3.2 90B Vision: Complete Benchmark Performance Guide

meta 3.2-90b-vision 2024-09-25 Llama 3.2 Community License

In-depth analysis of Llama 3.2 90B Vision performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

Key Specifications

Vendormeta
Version3.2-90b-vision
Release Date2024-09-25
Context Window128000 tokens
Input Modalitiestext, image
Output Modalitiestext
LicenseLlama 3.2 Community License
Documentationhttps://llama.meta.com/docs/

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 76.5 % 2024-09-25 5-shot view
HUMANEVAL 73.1 pass@1 2024-09-25 — view
GSM8K 82.6 % 2024-09-25 0-shot CoT view
MATH 52.5 % 2024-09-25 0-shot CoT view
BBH 76.1 % 2024-09-25 3-shot CoT view
GPQA 42.2 % 2024-09-25 0-shot view
IFEVAL 74.5 % 2024-09-25 prompt_strict view
ARC 94.6 % 2024-09-25 challenge view
MUSR 53.5 % 2024-09-25 0-shot view
WINOGRANDE 79.3 % 2024-09-25 0-shot view

Pricing

Tier Price Currency
Input$1.2 / MtokUSD
Output$1.2 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://ai.meta.com/blog/ · as of 2024-09-25

Compliance

  • Data Residency: self-host
  • SOC2: ✗
  • HIPAA: ✗
  • GDPR: ✗
  • ISO 27001: ✗

Llama 3.2 90B Vision

Model Overview

Meta Llama 3.2 90B Vision 多模态开源模型, 128K 上下文, 支持图像理解, 性能接近 GPT-4V。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Meta 3.2-90b-vision 2024-09-25 128K text, image text Llama 3.2 Community License

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 76.5 % 5-shot
HumanEval 73.1 pass@1 —
GSM8K (Grade School Math 8K) 82.6 % 0-shot CoT
MATH 52.5 % 0-shot CoT
BBH (BIG-Bench Hard) 76.1 % 3-shot CoT
GPQA 42.2 % 0-shot
IFEval 74.5 % prompt_strict
ARC 94.6 % challenge
MUSR 53.5 % 0-shot
WinoGrande 79.3 % 0-shot

Pricing

Input Output Cache Read Cache Write
— — — —

per million tokens

Strengths

  • Input Modalities: text, image, audio.

Weaknesses

  • Proprietary, not self-hostable.

Use Cases

  • Code generation and debugging
  • Vision and image understanding

References