Loading the catalogue…
Google DeepMind's open-weights 30.7B dense multimodal model with a 256K-token context window and optional chain-of-thought thinking, instruction-tuned for long-context and multimodal tasks.
OpenAI's efficient GPT-5.4 mini instruct model, built for coding and agentic workloads with optional reasoning depth and a 400K-token multimodal context window.
Open-weights 119B MoE model from Mistral AI (128 experts, 4 active, 6.5B active per token) unifying instruct, opt-in reasoning, and vision in a single 262K-context checkpoint served at an interactive latency class.
xAI's chain-of-thought reasoning model in the Grok 4.20 generation, built for deliberate multi-step inference across text and image input.
xAI's multi-agent orchestration model: parallel sub-agent debate synthesized into one answer, built for deliberate reasoning over speed.
OpenAI's configurable chain-of-thought reasoning model with a 1M-token context window and native text, image, and file input.
A dense, open-weight 9.65B-parameter multimodal model from Qwen with a 262K-token native context window and text, image, and video input.
Google's frontier reasoning model with mandatory chain-of-thought inference, a 1M-token context window, and full multimodal input for long-horizon, complex tasks.
A hybrid-reasoning Claude model from Anthropic with a 1M-token context window, selectable reasoning effort, and tool calling for coding, research, and agentic work.
One of Anthropic's Claude Opus 4 models — a one-million-token context window, optional adaptive thinking, and native document understanding for reasoning-heavy and agentic work.
Google's multimodal Flash model with a 1M+ token context and opt-in reasoning effort, built for fast Inference on complex, mixed-media tasks.
Anthropic's frontier Claude Opus 4.5: a proprietary, text-and-image model built for complex coding, research, and long-document reasoning with optional extended thinking.
Anthropic's fastest Claude 4 model — built for high-throughput agentic and coding workloads, with a 200K-token context window, optional extended thinking, vision input, and strong safety benchmarks.
Anthropic's instruct-tuned Claude Sonnet 4.5 — built for agentic coding, computer-use, and long-context reasoning via the Claude API.
OpenAI's compact GPT-5 variant with tunable reasoning effort, a 400K-token context window, and multimodal input for interactive document and image tasks.
OpenAI's fastest, lightest GPT-5 tier for high-volume classification, summarisation, and short completions — 400K context, vision and file input, mandatory reasoning traces.
Google's fastest, lowest-cost Gemini 2.5 model — a multimodal instruct model with a 1M-token context window, built for realtime, high-throughput Inference.
Google's closed-weight, reasoning-tuned flagship with a 1M-token context window, multimodal input, and native tool calling.
OpenAI's higher-compute o3 reasoning model for deep, batch-style math, code, and research tasks via the Responses API.
Google DeepMind's efficiency-tier multimodal model with a 1M-token context window, optional chain-of-thought thinking, and native text, image, audio, video, and file input.
OpenAI's open-weight, reasoning-tuned Mixture-of-Experts model — Apache-2.0 licensed, 131K context, self-hostable.
Mistral AI's dense 128B model with text and image input, optional reasoning and a 262,144-token context window.
OpenAI's compute-maximised o3 reasoning model, built for deep multi-step reasoning in math, code, and research over a 200K-token context.