---
title: "Available Models"
slug: "available-models"
updated: 2026-10-20T20:05:28Z
published: 2026-10-20T20:05:28Z
canonical: "kb.expedient.com/available-models"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://kb.expedient.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Available Models

## Available Models

AI CTRL provides access to models from five providers: OpenAI, Anthropic, Google, Perplexity, and xAI. This page groups them by the four types described in [Choosing a Model](https://kb.expedient.com/docs/choosing-a-model). For what each model costs to run, see the [AI CTRL Ratecard](https://kb.expedient.com/docs/ai-ctrl-ratecard).

> **Your list will be shorter than this one.** Your administrators choose which models appear in your dropdown, and most deployments enable a curated handful rather than everything available. If something here isn't in your list, ask them: it's a deliberate choice, not an oversight. Within each type below, models are listed roughly from most economical to most expensive. GPT-5 mini is the standard baseline that credit allocations are measured against.

## Everyday / lightweight

General questions, drafting, summarizing, rewriting, quick lookups. Fast and inexpensive: these handle more than people expect, so try one first and move up only when the answer isn't good enough.

| Model | Provider | Best for |
| --- | --- | --- |
| GPT-5 nano | OpenAI | Summaries, tagging, and high-volume triage |
| Gemini 2.0 Flash-Lite | Google | Simple input–output and minimum spend per request |
| Gemini 2.0 Flash | Google | Balanced multimodal assistant |
| Gemini 2.5 Flash-Lite | Google | Routing, translation, and extremely high request volume |
| GPT-4.1 nano | OpenAI | High-volume classification, routing, and low-latency tasks |
| GPT-4o mini | OpenAI | Budget multimodal chat, vision, and simple extraction |
| GPT-5.4 Nano | OpenAI | Snippets, small fixes, classification, and routing |
| GPT-5 mini ★ | OpenAI | General chat, analysis, and light coding |
| Claude Haiku 3 | Anthropic | Maximum economy and minimum latency at high scale |
| Gemini 3.1 Flash-Lite | Google | High-throughput tasks where cost and speed both matter |
| Gemini 2.5 Flash | Google | Chat, summarization, and extraction at large scale |
| GPT-4.1 mini | OpenAI | Cost-effective coding, extraction, and everyday assistants |
| GPT-5.4 Mini | OpenAI | Quick iterations, lighter coding, and tool-heavy workflows |
| Claude Haiku 4.5 | Anthropic | High-volume assistants and chat with strong answer quality |
| Gemini 3.5 Flash | Google | Fast reasoning, multimodal agents, and large-scale production workloads |
| GPT-5.6 Luna | OpenAI | Classification, summarization, lightweight chat, and high-throughput automation |
| GPT 6 Luna | OpenAI | Fast, low-cost handling of focused, high-volume tasks |
| GPT-4o | OpenAI | Vision and general multimodal assistants |
| Gemini 3.6 Flash | Google | Agentic and multimodal workloads: stronger coding and knowledge work than 3.5 Flash, at lower cost |
| Gemini 3.7 Flash | Google | Fast everyday work at large context |
| GPT-5.6 Terra | OpenAI | Everyday professional work: the balanced default where Sol is overkill |

## Reasoning

Multi-step problems, analysis, technical writing, and code. Slower and more verbose than a short question needs, and the most expensive per credit: reserve them for work that needs the thinking.

| Model | Provider | Best for |
| --- | --- | --- |
| o4-mini | OpenAI | Cost-efficient math, logic, and structured reasoning |
| GPT-5 | OpenAI | Reasoning, coding, and general-purpose assistants |
| GPT-5.1 | OpenAI | Everyday coding and agent-style tasks |
| GPT-5.1 Codex | OpenAI | Economical coding, implementation, and code review |
| GPT-5.2 Codex | OpenAI | IDE-style edits, debugging, and repo-aware changes |
| GPT-5.3 Codex | OpenAI | Agentic coding, refactors, and multi-file software work |
| o3 | OpenAI | STEM, logic, and careful step-by-step analysis |
| Gemini 3 Pro | Google | Complex analysis, coding, and multimodal assistants (preview) |
| Gemini 3.1 Pro | Google | Agents, coding, and multimodal reasoning (preview) |
| GPT-5.4 | OpenAI | Coding, agents, math, and broad analysis |
| Claude Sonnet 4 | Anthropic | Implementation, documentation, and general software tasks |
| Claude Sonnet 5 | Anthropic | Agents, coding, and near-Opus quality at lower cost |
| Claude Sonnet 5.5 | Anthropic | General work balancing speed and capability |
| Claude Opus 4.5 | Anthropic | Elite reasoning, research depth, and strategic analysis |
| Claude Opus 4.7 | Anthropic | Stronger coding, vision, and complex multi-step tasks |
| Claude Opus 4.8 | Anthropic | Most capable Opus — complex reasoning and long-horizon agentic work |
| Claude Opus 5 | Anthropic | Complex agentic coding, autonomous workflows, and advanced research where accuracy outweighs cost |
| Claude Opus 5.5 | Anthropic | Most capable model in the 5.5 family |
| GPT-5.5 | OpenAI | Flagship for coding, agents, computer use, and professional work |
| Claude Opus 4 | Anthropic | Broad flagship-quality coding, analysis, and writing |
| Claude Opus 4.1 | Anthropic | Premium coding, instruction following, and high-stakes work |
| GPT-5 Pro | OpenAI | Deep analysis and planning with extended thinking |
| GPT-5.2 Pro | OpenAI | Very demanding reasoning, long-form analysis, complex decisions |
| GPT-5.4 Pro | OpenAI | Hardest problems, maximum precision, long-running work |
| GPT-5.5 Pro | OpenAI | Highest-precision reasoning, audits, and high-stakes professional work |
| GPT-5.6 Sol | OpenAI | Agentic multi-step tasks, research synthesis, and high-stakes technical workflows |
| GPT 6 Sol | OpenAI | Complex coding and agentic workflows |
| GPT 6.1 Sol | OpenAI | Complex coding, computer use, and professional work |
| Grok 4.7 | xAI | Coding, agentic tasks, and knowledge work |

## Large context

Long documents, large data sets, and anything used with the Structured Data Tool. Use when the volume is genuinely large, not by default.

| Model | Provider | Best for |
| --- | --- | --- |
| Gemini 3 Flash | Google | Fast multimodal work and thinking-style tasks at large context |
| Gemini 2.5 Pro | Google | Complex code, deep analysis, and very long context |
| GPT-4.1 | OpenAI | Strong coding and long-context instruction following |
| Claude Sonnet 4.6 | Anthropic | Coding, agent planning, and drafting with strong long-context reasoning |
| Claude Opus 4.6 | Anthropic | Hardest agents, complex coding, and very long documents |

Several newer models also handle very long context and are listed above under their primary use rather than repeated here: the GPT-5.6 family (Luna, Terra, and Sol) at 1.05M tokens, and Claude Opus 5 and Gemini 3.6 Flash at 1M. Any of them will take a large document.

## Specialized

Single-purpose models. Availability depends on your organization's configuration.

| Model | Provider | Best for |
| --- | --- | --- |
| Sonar | Perplexity | Web-grounded answers |
| Sonar Reasoning | Perplexity | Structured analysis grounded in live search results |
| Sonar Pro | Perplexity | Multi-step research questions, broad sources, nuanced synthesis |
| Sonar Deep Research | Perplexity | Long reports, due diligence, and literature-style synthesis |
| Sonar Reasoning Pro | Perplexity | Deep multi-step reasoning over retrieved web evidence |
| o4-mini Deep Research | OpenAI | Faster, more affordable deep research |
| o3 Deep Research | OpenAI | Long reports, due diligence, and literature-style synthesis |
| DALL-E 3 | OpenAI | Creative illustrations, concepts, and marketing-style imagery |
| GPT Image 2 | OpenAI | Latest image generation with rich detail, edits, and complex scenes |
| GPT Image 2.5 Flare | OpenAI | Image generation |

## The Smart Model Router

Not a model: a dispatcher. It reads your question and assigns whichever model suits it, choosing only from those you already have access to. For most people doing most things, this is the right default.

## Model retirements

Providers retire their own models on their own schedules, and a retired model is removed from AI CTRL when that happens. Expedient gives notice ahead of any retirement and works with your administrators through the change.

> **If you've built a custom model, check what it runs on.** A custom model is locked to a single base model: when that base model retires, the custom model stops working until it's pointed at a replacement. Review anything your team depends on whenever a retirement is announced.

## New models

New models are added roughly every two weeks, typically two to four weeks after a provider's public release, once they've been tested against our security requirements. They arrive restricted by default, so your administrators decide who gets access to each one.

## Related articles

- [Choosing a Model](https://kb.expedient.com/docs/choosing-a-model)
- [AI CTRL Ratecard](https://kb.expedient.com/docs/ai-ctrl-ratecard)
- [Custom Models](https://kb.expedient.com/docs/custom-models)
- [Understanding AI Basics](https://kb.expedient.com/docs/understanding-ai-basics)