Anthropic Claude
Anthropic’s most capable model, built for work that runs for hours and checks its own results.
The previous Opus, still available for work that was built and tested on it.
Anthropic’s recommended default: near the top on hard work, cheaper than the Opus it replaced.
Anthropic’s fast mid-tier model, now within a whisker of Opus on most work.
Anthropic’s smallest, fastest model, for chat, support and work split across many small agents.
OpenAI GPT
OpenAI’s flagship, for the hardest maths, science and long agent work.
OpenAI’s flagship from July 2026, kept for long coding work built on it.
OpenAI’s current middle tier: close to Astra on agent work, at a Sol price.
The first GPT-6 middle tier, kept for work already built on it.
OpenAI’s coding specialist from early 2026, made for agents that work in a terminal.
The fast, low-cost GPT-5.6, for high-volume work.
OpenAI’s small model for classifying, extracting and ranking at scale.
OpenAI’s cheapest GPT-6, with the same million-token memory as Astra.
The small gpt-oss: o3-mini-class reasoning in a model that fits on a laptop.
OpenAI’s larger open-weight model: o4-mini-class reasoning you could also run yourself.
Quick, low-cost speech from text, for real-time voice.
Fast speech-to-text in 99 languages, Sinhala and Tamil among them.
OpenAI’s most accurate embedding model, and the better one for languages other than English.
Low-cost embeddings for search, recommendations and finding duplicates.
Google Gemini
Google’s Pro model: reads video, audio, images and PDFs in one million-token window.
Google’s newest Flash: near-flagship coding at Flash speed.
Google’s largest open Gemma: a 31-billion-parameter model that reads images and video, under Apache 2.0.
Meta Llama
DeepSeek
Alibaba Qwen
Alibaba’s flagship, and the first Max-tier Qwen with downloadable weights.
Alibaba’s small dense Qwen: open, multimodal and unusually strong at coding for 27 billion parameters.
Qwen3.8-27B on our own server in Colombo: your data is processed in Sri Lanka and nowhere else.
Alibaba’s fast, low-cost Qwen, and an early look at the Qwen4 design.
More models
Moonshot AI’s 2.8-trillion-parameter open model, first at web research when it launched.
xAI’s flagship from August 2026, strongest at graduate-level science questions.
Z.ai’s open flagship for coding agents and security work.
Xiaomi’s open coding model, built to keep going through a thousand tool calls.
MiniMax’s open flagship: strong coding, a million-token context and image and video input in one model.
Z.ai’s fast, low-cost GLM, and the first in the series to see images and video.
Xiaomi’s open model that reads, looks and listens — text, images, audio and video.
Tencent’s open flagship, switching between quick answers and deep reasoning.
Upstage’s model that says when it cannot verify something, rather than filling the gap.
A judge model: typed answers about your data, each with a probability, in well under a second.
Head to head
The pairs people actually weigh against each other, with prices side by side and a straight answer on which to use.
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