Quick answers and short drafts
Fast general models
Use these when speed matters more than deep reasoning, such as brainstorming, rewriting a sentence, or getting a first explanation.
AI Models
All the top AI models from leading providers, available in one place. No separate subscriptions needed.
How to read this page
This page is meant to help visitors understand the role of each model family before they sign up. Instead of only listing brand names, it explains where each provider tends to fit and how to choose a model based on the work you need to do.
Model availability changes over time
AI providers update model names, capabilities, prices, and rate limits. This page describes the model families currently exposed by Deni AI and the practical role each category plays in the product.
OpenAI
A broad mix of general-purpose, reasoning, and coding models. Useful when you want the widest range of task coverage in one family.
Useful when you want another high-capability option for multimodal and general productivity workflows inside the same workspace.
Anthropic
Often a strong choice for structured writing, analysis, and long-form reasoning where tone and coherence matter.
OpenAI
GPT-6 Astra
3xPro
OpenAI flagship for complex reasoning, coding, and agentic work.
Context window: 1,000,000 · Long context (>200,000 input): 2× usage
GPT-6 Sol
3x
High-end GPT-6 model for demanding reasoning, coding, and agentic work.
Context window: 1,050,000 · Long context (>200,000 input): 2× usage
GPT-6.1 Sol
3x
High-end GPT-6.1 model for demanding reasoning, coding, and agentic work.
Context window: 1,050,000 · Long context (>200,000 input): 2× usage
GPT-6 Luna
Fast, cost-efficient GPT-6 model for high-volume tasks.
Context window: 1,050,000 · Long context (>200,000 input): 2× usage
GPT-5.6 Sol
3x
OpenAI flagship for complex reasoning, coding, and agentic work.
Context window: 1,050,000 · Long context (>200,000 input): 2× usage
GPT-5.6 Terra
1.5x
Balanced GPT-5.6 model for everyday work at half the cost of Sol.
Context window: 1,050,000 · Long context (>200,000 input): 2× usage
GPT-5.6 Luna
Fastest, most affordable GPT-5.6 model for high-volume tasks.
Context window: 1,050,000 · Long context (>200,000 input): 2× usage
Gemini 3.8 Flash
Best for coding and agentic tasks
Context window: 1,000,000
Gemini 3.5 Flash Lite
Best for high volume tasks
Context window: 1,000,000
Anthropic
Claude Opus 5.5
2xPro
Anthropic's flagship for agentic coding, computer use, and knowledge work.
Context window: 1,000,000
Claude Fable 5.1
3xPro
Successor to Claude Fable 5 for long-running agentic coding, knowledge work, and research.
Context window: 1,000,000
Claude Fable 5
3xPro
Anthropic's most capable model for long-horizon agentic work.
Context window: 1,000,000
Claude Opus 5
2xPro
For complex agentic coding and enterprise work.
Context window: 1,000,000
Claude Sonnet 5.5
1.5xPro
Fast, balanced model for coding, agents, and everyday knowledge work.
Context window: 1,000,000
Claude Sonnet 5
1.5xPro
Balanced Claude 5 model for coding, writing, and everyday agentic work.
Context window: 1,000,000
Claude Haiku 5.5
Fast, lightweight Claude 5 model for everyday chat and quick reasoning.
Context window: 1,000,000
Choose by task type
The same model is rarely best for every job. A practical workflow is to decide what kind of output you need, pick the smallest reliable option, then compare another model when the answer affects real work.
Task
Good starting point
What to watch
Planning and analysis
Reasoning-focused models
Use these for tradeoffs, debugging plans, product decisions, and tasks where you want the model to show more careful structure.
Implementation and refactoring
Coding-capable models
Use these when the output needs to fit real code, follow constraints, explain errors, or produce a change plan.
Translation and tone review
Strong writing models
Use these when wording, nuance, and readability matter more than raw speed or tool use.
A practical guide to choosing the right model
People often compare providers by hype alone. In practice, a better rule is to start with what the task demands, then move to the smallest model that produces a trustworthy result. That is the operating idea behind Deni AI.
Start with the task, not the brand
Choose based on the job you need done: quick drafting, careful reasoning, coding, or side-by-side comparison.
Use faster models for iteration
When the work is exploratory, speed matters. Fast models help you refine prompts before moving to more expensive reasoning models.
Escalate to stronger reasoning when the stakes increase
Planning, debugging, evaluations, and nuanced tradeoffs usually benefit from a model with stronger reasoning behavior.
Compare outputs before you trust them
No model is correct all the time. Deni AI is most valuable when you can inspect multiple answers without changing products.
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