LLM Reference

GPT-4o (05-13)

Released
2024-05-13
Last refreshed
2026-05-11
Status
Researched 25d ago
DeprecatedProprietaryMultimodalCodingRAGAgentsLong contextVisionClassificationJSON / Tool use

GPT-4o (05-13) is a legacy integration reference; evaluate GPT-4o before starting new work.

Use it for

  • Teams maintaining an existing integration
  • Workloads that can use a 128k context window
  • Buyers comparing 3 tracked provider routes

Do not use it for

  • New production launches
Specifications
Family
GPT-4o
Released
2024-05-13
Context
128k
Parameters
1.76T (8x222B MoE)*
Architecture
Mixture of Experts
Knowledge cutoff
2023-10
Specialization
general
License
Proprietary
Training
finetuned
Created by

Cutting-edge research and development.

San Francisco, California, United States
Founded 2015
Website
Pricing
Output / 1M
$10.00
Input / 1M
$2.50

Cheapest of 4 routes · OpenAI API

This model is deprecated. OpenAI recommends switching to GPT-4o.

About

GPT-4o, or GPT-4 Omni, is OpenAI's premier multimodal AI model, introduced on May 13, 2024. It is designed to handle and generate content from various input types, including text, audio, and visual data, using a unified model, unlike its predecessors which required separate models for different modalities. This model is notable for its rapid response times averaging 320 milliseconds, which align with human conversational speed, along with being 50% more cost-effective than GPT-4 Turbo. Although it mirrors GPT-4 Turbo in standard benchmark performance, GPT-4o excels in multilingual, audio, and vision tasks. Despite its advancements, it shares the limitation of a knowledge cutoff at October 2023 and is prone to generating incorrect information, like other language models. A more compact and economical version, GPT-4o mini, is also available.

GPT-4o (05-13) is a proprietary model in the GPT-4o family. The structured metadata tracks a 128k-token context window, multimodal input, structured outputs, and code execution. This page tracks provider routes through Azure OpenAI, OpenAI API, OpenRouter, and 1 more, with the cheapest tracked route listed at $2.5 input and $10 output per 1M tokens. Headline tracked benchmarks include HellaSwag 96.4, HumanEval 90.2, and Massive Multitask Language Understanding 88.7.

Top use-case fit: coding, agents, and build tasks

Coding

1 relevant benchmark in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 4

Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MBatch in / outRoute
OpenAI API$2.50$10.00$1.25 / $5.00
Serverless
Replicate API$2.50$10.00-
Serverless
OpenRouter$5.00$15.00-
Serverless

Capabilities

VisionMultimodalStructured OutputsCode Execution

Benchmark peer barsfor Coding

Benchmark scores(6)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
HellaSwag96.410-shothttps://crfm.stanford.edu/helm/classic/latest/
HumanEval90.2pass@1https://crfm.stanford.edu/helm/classic/latest/
Massive Multitask Language Understanding88.75-shothttps://crfm.stanford.edu/helm/classic/latest/
MMLU PRO72.5https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro
HumanEval+87.2https://evalplus.github.io/leaderboard.html
Mostly Basic Programming Problems+78.0https://evalplus.github.io/leaderboard.html

Migration checks

No linked migration route is available for this model yet.

API versions

gpt-4o-2024-05-13gpt-4o

Rankings & picks(2)

Comparison and alternatives

Browse all comparisons →