Model Detail
OpenAI: GPT-4
—OpenAI: GPT-4 is a large language model released by OpenAI. And supports text->text inputs.
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.
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.
The published knowledge cutoff is 2021-09-30, so newer events will not be reflected in zero-shot answers without retrieval.
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.
Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1
arXiv:2607.20589v1 Announce Type: new Abstract: Persona simulation involves utilizing large language models (LLMs) to anticipate human choices or interactions based on specific characteristic information. To further understand current limitations and future directions, we tested persona simulation i
LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4
arXiv:2607.15509v1 Announce Type: cross Abstract: We present a fully automated closed-loop AutoML framework that uses GPT-5, GPT-4o, and Claude Sonnet 4 as autonomous neural architecture designers for cross-lingual handwritten optical character recognition. Each large language model independently ge
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,
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
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.
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.
