gpt-4o-mini

Type: AI model

GPT-4o-mini is OpenAI’s small, low-cost multimodal model in the GPT-4o line, designed for fast, inexpensive inference at scale via the API. It became a common default for high-volume, cost-sensitive applications. GROUNDING tracks GPT-4o-mini’s use as an efficient API model and baseline.

Recent Updates

• 2026-06-29: Grounded Iterative Language Planning uses a small world-model backbone to reduce hallucinated state changes in LLM agents (cs.AI updates on arXiv.org) · arxiv.org — Agents arXiv
• 2026-06-29: How Movie Planner grounds LLM suggestions with real movie APIs (Все статьи подряд / Искусственный интеллект / Хабр) · habr.com — Agents Tool Use MCP Movie Planner OpenRouter · Groq · TMDB Nikita Nolan Ling 2.6 Flash · Whisper large-v3 · Gemini 2.5 Flash Lite · Gemma · Nemotron
• 2026-06-30: SEVA proposes structured fact-attribution verification with process reward (cs.CL updates on arXiv.org) · arxiv.org — Agents LLM Evals SEVA-3B
• 2026-06-30: Contagion Tensor: A Framework for Measuring Output-Distribution Coupling in Multi-Agent LLM Systems (cs.LG updates on arXiv.org) · arxiv.org — Agents LLM Evals DeepSeek · OpenAI · DeepSeek-Chat
• 2026-06-30: MemDelta studies hidden confounds in agent memory evaluation (cs.CL updates on arXiv.org) · arxiv.org — Agent Memory RAG LLM Evals RAG Evaluation OpenAI · Google · Gemini · Sonnet · MiniLM Mem0
• 2026-07-01: CLExEval evaluates clinical reasoning with human physician annotations and progressive masking (cs.CL updates on arXiv.org) · arxiv.org — LLM Evals arXiv HuatuoGPT-o1
• 2026-07-03: STEER shows multilingual jailbreaks can bypass English-centered safety training (cs.AI updates on arXiv.org) · arxiv.org — LLM Evals Joshua Adrian Cahyono
• 2026-07-03: Ask the Right Comparison: Bias-Aware Bayesian Active Top-k Ranking with LLM Judges (cs.LG updates on arXiv.org) · arxiv.org — LLM Evals arXiv · LLaMA · Qwen · Phi-4 GPT-4o-5.1 GPT-4o-5.5 · Gemini · DeepSeek · Claude Haiku · Claude Sonnet · Claude Opus
• 2026-07-03: STEER finds multilingual jailbreak weakness in English-centric safety tuning (cs.CL updates on arXiv.org) · arxiv.org — LLM Evals Joshua Adrian Cahyono
• 2026-07-07: RetroCoT: a forensic-reconstruction prompt that exposes framing-sensitive safety behavior (cs.CL updates on arXiv.org) · arxiv.org — LLM Evals OpenAI · GPT-4o · GPT-5 · GPT-5.4-mini
• 2026-07-09: What Predicts Correctness in Text-to-SQL? A Selective-Prediction Study (cs.AI updates on arXiv.org) · arxiv.org — LLM Evals OpenAI · Anthropic · Claude
• 2026-07-09: Selective Prediction for Text-to-SQL Correctness (cs.LG updates on arXiv.org) · arxiv.org — LLM Evals Claude
• 2026-07-09: Co-LMLM proposes continuous-query limited-memory language models with external factual knowledge (cs.CL updates on arXiv.org) · arxiv.org — RAG Claude Sonnet 4.5
• 2026-07-09: Deterministic pre-execution gates reduce silent policy-violating writes in tool-using LLM agents (cs.AI updates on arXiv.org) · arxiv.org — Agents Tool Use LLM Evals Vikas Reddy Challaram GPT-5.2
• 2026-07-11: Game-Theoretic Multi-Agent Framework Claims Lower Hallucination in a 7B Chemistry Model (cs.AI updates on arXiv.org) · arxiv.org — Agents LLM Evals OmniChem
• 2026-07-13: Task-specific two-agent system for QANTA 2026 multimodal QA (cs.CL updates on arXiv.org) · arxiv.org — Agents GPT-4.1-mini · GPT-4o · GPT-4.1
• 2026-07-14: QIMG-7 benchmark exposes how polluted multimodal RAG can fail, and SATR adds source-aware trust selection (cs.CL updates on arXiv.org) · arxiv.org — RAG RAG Evaluation LLM Evals Saadeldine Eletter
• 2026-07-15: MAGE: Stability–Performance Trade-offs in Multi-Component Prompt Optimization (cs.CL updates on arXiv.org) · arxiv.org — LLM Evals Llama-3.1-8B
• 2026-07-24: REGARD evaluates affective framing differences across 19 LLMs on post-Soviet entities (cs.CL updates on arXiv.org) · arxiv.org — LLM Evals OpenAI Andrey Chetvergov · Qwen3.6-35B-A3B

FAQ

What is gpt-4o-mini?

GPT-4o-mini is OpenAI’s small, low-cost multimodal model in the GPT-4o line, designed for fast, inexpensive inference at scale via the API. It became a common default for high-volume, cost-sensitive applications. GROUNDING tracks GPT-4o-mini’s use as an efficient API model and baseline.

What does this page track?

Dated radar mentions, source links, related concepts, and builder-relevant context for gpt-4o-mini, collected automatically by GROUNDING.

When was gpt-4o-mini last mentioned?

gpt-4o-mini was most recently mentioned in a radar update dated 2026-07-24.

Category: Text / Language Models