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Model Detail

openai logo

OpenAI: GPT-4

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Provider: OpenAICategory: llm
DB Score
39.8
Downloads
0
Likes
0
Day
+0.0%
Week
+0.0%
Month
+0.0%
Overview

OpenAI: GPT-4 is a large language model released by OpenAI. And supports text->text inputs.

Performance

OpenAI: GPT-4 has been evaluated across multiple task suites. On task-specific evaluations the model scores 39.7% resolved on SWE-Bench, and 86.5% length-controlled win rate on AlpacaEval.

How we score this →
Pricing & Throughput

OpenAI: GPT-4 is priced at $30/M input tokens and $60/M output tokens. Operationally the model offers a 8K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. This is frontier pricing, so cost-fit usually depends on whether the per-call quality justifies running a smaller commodity model two or three times to compare.

Technical

The published knowledge cutoff is 2021-09-30, so newer events will not be reflected in zero-shot answers without retrieval.

Use Cases

OpenAI: GPT-4 is best fit for general-purpose chat and instruction-following workloads. It is a less obvious choice for cost-sensitive batch processing where a commodity-tier model could be retried cheaply. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Pricing
Input ($/M tokens)
$30
Output ($/M tokens)
$60
Context Window
8K
Arena & Community
AlpacaEval
95.3%
AlpacaEval LC
86.5%
SWE-Bench
39.7%
Model Info
Modalitytext->text
Knowledge Cutoff2021-09-30
Recent newsView all news →
Related News
arxiv56d ago

Is GPT-4o mini Blinded by its Own Safety Filters? Exposing the Multimodal-to-Unimodal Bottleneck in Hate Speech Detection

arXiv:2509.13608v2 Announce Type: replace Abstract: As Large Multimodal Models (LMMs) become integral to daily digital life, understanding their safety architectures is a critical problem for AI Alignment. This paper presents a systematic analysis of OpenAI's GPT-4o mini, a globally deployed model,

arxivneutral77d ago

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks

arXiv:2507.01955v3 Announce Type: replace-cross Abstract: Multimodal foundation models (MFMs), such as GPT-4o, have recently made remarkable progress. However, their detailed visual understanding beyond question answering remains unclear. In this paper, we benchmark popular MFMs (GPT-4o, o4-mini, Ge

openai173d ago

Retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and OpenAI o4-mini in ChatGPT

On February 13, 2026, alongside the previously announced retirement⁠ of GPT‑5 (Instant, Thinking, and Pro), we will retire GPT‑4o, GPT‑4.1, GPT‑4.1 mini, and OpenAI o4-mini from ChatGPT. In the API, there are no changes at this time.

openai385d ago

No-code personal agents, powered by GPT-4.1 and Realtime API

Learn how Genspark built a $36M ARR AI product in 45 days—with no-code agents powered by GPT-4.1 and OpenAI Realtime API.

openai390d ago

Customizable, no-code voice agent automation with GPT-4o

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openai392d ago

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