GPT-4

OpenAI · released May 28, 2023

ProprietaryTool useStructured output

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...

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Specification

Context window: 8K
Max output: 4K
Knowledge cutoff: Sep 30, 2021
Parameters: Undisclosed
Licence: Proprietary
Serving providers: 2
Moderated: Yes
Uptime: 100.0%

Intelligence

6.8

23th percentile

Coding

13.1

Coding Index

Agentic

—

Agentic Index

Output speed

82 t/s

Median across providers

Latency

772ms

Time to first token

Cost per task

$3.00

Estimated

Benchmarks

Where the score comes from

The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.

Evaluation scores

This model has not been put through the benchmark suite. Its speed, latency and pricing figures below are still measured.

Against its peers

Intelligence Index · this model highlighted, nearest peers in grey

Mistral Large 2407Mistral AI
7.0
Qwen2.5 Coder 32B InstructQwen
6.9
GPT-4OpenAI
6.8
GLM 4.5VZ.ai
6.8
Gemini 2.5 Flash LiteGoogle
6.7
GPT-4o-miniOpenAI
6.7
GPT-4o-mini (2024-07-18)OpenAI
6.7
Granite 4.1 8BIBM Granite
6.4

Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.

View as table

Model	Intelligence
Mistral Large 2407	7.0
Qwen2.5 Coder 32B Instruct	6.9
GPT-4	6.8
GLM 4.5V	6.8
Gemini 2.5 Flash Lite	6.7
GPT-4o-mini	6.7
GPT-4o-mini (2024-07-18)	6.7
Granite 4.1 8B	6.4

Percentile among all indexed models

Intelligence23th

Coding16th

Pricing

What it costs to run

List prices per million tokens, plus what one representative task works out to.

List price

Input / 1M tokens: $30
Output / 1M tokens: $60
Cached input / 1M: Not offered
Blended 3:1: $37.5

One task, estimated

$3.00

Input tokens: 50,000
Output tokens: 25,000
Profile: Standard

Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).

Serving providers

Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.

GPT-4

Specification

Where the score comes from

Evaluation scores

Against its peers

Percentile among all indexed models

What it costs to run

List price

One task, estimated

Serving providers

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