GPT-4 Vision: Complete Benchmark Performance Guide

openai 4-vision 2024-01-25 Proprietary

In-depth analysis of GPT-4 Vision performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

Key Specifications

Vendoropenai
Version4-vision
Release Date2024-01-25
Context Window128000 tokens
Input Modalitiestext, image
Output Modalitiestext
LicenseProprietary
Documentationhttps://platform.openai.com/docs/models

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 83.9 % 2024-01-25 5-shot view
HUMANEVAL 75.8 pass@1 2024-01-25 — view
GSM8K 83.6 % 2024-01-25 0-shot CoT view
MATH 48.3 % 2024-01-25 0-shot CoT view
BBH 80.9 % 2024-01-25 3-shot CoT view
GPQA 41.8 % 2024-01-25 0-shot view
IFEVAL 73.5 % 2024-01-25 prompt_strict view
ARC 93.3 % 2024-01-25 challenge view
MUSR 51.2 % 2024-01-25 0-shot view
WINOGRANDE 86.9 % 2024-01-25 0-shot view

Pricing

Tier Price Currency
Input$10 / MtokUSD
Output$30 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://openai.com/api/pricing/ · as of 2024-01-25

Compliance

  • Data Residency: US
  • SOC2: ✓
  • HIPAA: ✓
  • GDPR: ✓
  • ISO 27001: ✓

GPT-4 Vision

Model Overview

OpenAI GPT-4 Vision 正式版, 支持图像理解与多模态推理, 128K 上下文窗口。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Openai 4-vision 2024-01-25 128K text, image text Proprietary

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 83.9 % 5-shot
HumanEval 75.8 pass@1 —
GSM8K (Grade School Math 8K) 83.6 % 0-shot CoT
MATH 48.3 % 0-shot CoT
BBH (BIG-Bench Hard) 80.9 % 3-shot CoT
GPQA 41.8 % 0-shot
IFEval 73.5 % prompt_strict
ARC 93.3 % challenge
MUSR 51.2 % 0-shot
WinoGrande 86.9 % 0-shot

Pricing

Input Output Cache Read Cache Write
— — — —

per million tokens

Strengths

  • MMLU score 83.9, strong knowledge reasoning.
  • Input Modalities: text, image, audio.

Weaknesses

  • Proprietary, not self-hostable.

Use Cases

  • Code generation and debugging
  • Vision and image understanding
  • Agent workflows and tool use

References