OpenAI GPT-6 model for focused, high-volume workloads where cost efficiency is the priority.
AI Models Directory
Comprehensive directory of 17 foundation models, LLMs, and multimodal engines from top research labs. Real pricing, benchmark scores, and architecture cards.
OpenAI GPT-6 model built for complex coding and agentic workflows, balancing intelligence and cost.
OpenAI’s premier sixth-generation frontier model, built for the most demanding end-to-end software engineering and scientific research tasks.
Flagship model family of mid-2026 featuring Sol (flagship), Terra (balanced), Luna (high-speed), and Cyber (authorized vulnerability research).
OpenAI’s premier full-duplex voice model for natural, expressive spoken dialogues with instantaneous interruption handling.
A new class of intelligence for advanced coding and professional knowledge work with a 1.05M context window and 128K output capacity.
OpenAI’s premier image synthesis and conversational in-painting model, supporting pinpoint region edits and variable quality modes.
First OpenAI model family introducing a 1.05-million-token context window with configurable reasoning effort and affordable pricing.
Medium-sized Apache 2.0 open-weight model with 21B parameters (3.6B active), designed for local execution on consumer GPUs.
OpenAI’s premier open-weight model licensed under Apache 2.0, engineered with 117B parameters (5.1B active) to fit on a single H100 GPU.
OpenAI’s smartest non-reasoning foundation model, delivering instantaneous responses with 256k context and low latency.
Frontier reasoning model establishing a new benchmark for complex coding, mathematical proofs, and automated research workflows.
High-speed, cost-efficient small model outperforming GPT-3.5 Turbo across every dimension for 15 cents per million tokens.
Flagship omnimodal model natively trained across text, vision, and audio, doubling generation speed at half the cost of GPT-4 Turbo.
OpenAI’s most capable embedding model, providing 3072-dimensional vector representations for high-precision semantic search.
Highly efficient embedding model featuring Matryoshka dimension shortening for ultra-low storage and compute costs.
Universal speech recognition model trained on 680,000 hours of multilingual and multitask supervised audio data.