An OpenAI model for coding projects and assistants that carry out several steps with tools.
- Context window
- 1.05M tokens
- Maximum output
- 128K tokens
Resources
Showing 1–12 of 32 models
An OpenAI model for coding projects and assistants that carry out several steps with tools.
OpenAI · Live
A low-cost OpenAI model for focused tasks repeated at scale, such as extraction, classification and short replies.
OpenAI · Live
OpenAI's approval-gated access to its flagship models for defensive security work, with fewer cybersecurity refusals.
Anthropic · Live
A Claude model for large code changes, detailed research and business tasks that take many steps.
OpenAI · Live
A lower-cost GPT-5.6 option for coding, analysis and assistants that use tools.
OpenAI · Live
The budget GPT-5.6 tier for processing many short, repeatable tasks.
Anthropic · Live
The original Fable model for complex coding and multi-step work, retained for existing integrations.
Anthropic · Live
A Claude model for substantial code changes, reasoning and business workflows with many steps.
Anthropic · Live
A lower-priced Claude option for everyday coding, writing and tool-assisted work.
Anthropic · Live
A compact Claude model for quick replies, classification and narrowly scoped assistants.
OpenAI · Live
OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.
OpenAI · Live
OpenAI's flagship general model for difficult coding, analysis, and professional work, with a very large context window and a broad native tool set.
How to use this library
A curated cross-category set of frontier, specialist, and category-defining models with practical API information for real product decisions.
Cody does not run a universal quality leaderboard. Provider claims are labeled, pricing excludes taxes and optional tools, and production buyers should verify the live provider terms before choosing a model.
Use first-party documentation for technical limits, lifecycle, pricing, regional access, and data policies whenever it exists.
Compare models only inside the same category and retain each provider's measurement basis.
Show Not published when a provider has not published a comparable fact instead of estimating it.
Treat prices and availability as dated snapshots and link every page to live provider documentation.
Voice latency, text throughput, video render time, and world-model frame rate are not interchangeable.
A missing release date, country list, or latency number is labeled as unpublished instead of estimated.
Model pages link to the underlying source and show when pricing, access, and policies were last checked.
Put the model to work
Use Cody's expanded prompt playbooks and curated agent skills to turn a model choice into a repeatable workflow.