CorX Labs

GPT-4o

by OpenAI · United States
ProprietaryVisionTool calling128K context

The natively multimodal model that set the price floor for frontier chat in 2024.


Specification

The numbers

Maker
OpenAI
Released
2024-05
Parameters
Not reported
Architecture
Not reported
Context window
128,000 tokens
Max output
16,384 tokens
Input
Text, Image, Audio
Output
Text
Reasoning
No
Tool calling
Yes
Knowledge cutoff
2023-10
Licence
Proprietary
Availability
Not reported
Weights
Not released

Cost

Price per million tokens

Input
$2.50 / M tokens
Output
$10.00 / M tokens
Cached input
$1.25
Blended 3:1
$4.38

Standard first-party API rate, excluding batch discounts. Reasoning models bill thinking tokens as output, so cost per answer can far exceed the cost per token suggests.

Published scores

Benchmarks

Figures published by OpenAI or taken from a public leaderboard. Row last checked 2026-08.

GPT-4o by capability category, with its rank among models reporting the same tests.
CategoryScore Rank
ReasoningGPQA Diamond53.6%65 of 83 reporting the same tests
MathsCompetition mathematics, graded on the final answerNot reported
CodingHumanEval90.2%7 of 46 reporting the same tests
KnowledgeMMLU-Pro74.7%16 of 77 reporting the same tests
MultimodalMMMU69.1%21 of 39 reporting the same tests
Instruction followingObeying an exact, checkable formatNot reported
Human preferenceLMArena Elo128512 of 24 reporting the same tests

A category averages every benchmark in it that GPT-4o reports. The rank counts only models that report the same tests, so it never compares an average over three benchmarks against an average over one.

Every reported test

MMLU-ProKnowledge74.7%Rank 16 of 77 models reporting
GPQA DiamondReasoning53.6%Rank 65 of 83 models reporting
AIME 2025MathsNot reportedNo figure published
MATH-500MathsNot reportedNo figure published
SWE-bench VerifiedCodingNot reportedNo figure published
SWE-bench ProCodingNot reportedNo figure published
Terminal-Bench 2.1CodingNot reportedNo figure published
Frontier-Bench v0.1ReasoningNot reportedNo figure published
Terminal-Bench 4.0CodingNot reportedNo figure published
LiveCodeBenchCodingNot reportedNo figure published
HumanEvalCoding90.2%Rank 7 of 46 models reporting
MMMUMultimodal69.1%Rank 21 of 39 models reporting
IFEvalInstruction followingNot reportedNo figure published
LMArena EloHuman preference1285Rank 12 of 24 models reporting

Where these numbers come from

Every score on this page is a published figure, taken from the model's own card, system card, technical report or release post, or from a public leaderboard. CorX Labs did not run these evaluations. Most are self-reported by the lab that built the model, which means they were produced under that lab's own choice of prompt, scaffold and number of attempts — so treat them as a starting point for a shortlist, not as a settled ranking.

A score someone other than the model's maker measured is marked Independent and names its measurer. Those are the stronger numbers on this page — an outside harness has no reason to flatter anyone — and there are not many of them.

Where a figure has not been published, the cell reads Not reported rather than an estimate. Nothing here is inferred, interpolated or guessed. Each model records the month its row was last checked. Full method and caveats.

Same maker

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