A Google model for complex software engineering and cybersecurity defense, initially available to selected trusted partners.
- Context window
- Not published
- Maximum output
- Not published
Resources
Top AI Models for Text & Reasoning
Frontier language models for analysis, coding, agents, document work, and multimodal reasoning. Compare context, output limits, token prices, inputs, and tool support.
Showing 1–12 of 39 models
OpenAI · Live
GPT-6.1 Terra
An OpenAI model for interpreting images, working with application screens and producing clear written responses.
- Context window
- 1.05M tokens
- Maximum output
- 128K tokens
Google · Live
Gemini 4 Argon
Google's Gemini 4 model for coding, research and tasks involving large collections of text, images, audio or video.
- Context window
- 1,048,576 tokens shared by input, thinking and output
- Maximum output
- 65,536 synchronous; long decode uses the remaining context
Meta · Live
Muse Wonder
Meta's model for extended coding projects, research and agents that work across files and tools.
- Context window
- 1,048,576 tokens
- Maximum output
- Not published
Meta · Live
Muse Wonder Full
A separate Muse Wonder variant for demanding coding work inside a paid Muse Code plan.
- Context window
- 1M tokens
- Maximum output
- Not published
OpenAI · Live
GPT-6.1 Sol
An OpenAI reasoning model for complex coding, research and tool-assisted work at a lower token price than Astra.
- Context window
- 1.05M tokens
- Maximum output
- 128K tokens
Anthropic · Live
Claude Sonnet 5.5
A Claude model for everyday coding, writing and visual analysis, with room for large reference documents.
- Context window
- 1M tokens
- Maximum output
- 128K tokens
An OpenAI model for coding projects and assistants that carry out several steps with tools.
- Context window
- 1.05M tokens
- Maximum output
- 128K tokens
OpenAI · Live
GPT-6 Luna
A low-cost OpenAI model for focused tasks repeated at scale, such as extraction, classification and short replies.
- Context window
- 1.05M tokens
- Maximum output
- 128K tokens
OpenAI · Live
Daybreak Blue
OpenAI's approval-gated access to its flagship models for defensive security work, with fewer cybersecurity refusals.
- Context window
- 1.05M tokens
- Maximum output
- 128K tokens
Anthropic · Live
Claude Opus 5.5
A Claude model for large code changes, detailed research and business tasks that take many steps.
- Context window
- 1M tokens
- Maximum output
- 128K tokens
OpenAI · Live
GPT-5.6 Terra
A lower-cost GPT-5.6 option for coding, analysis and assistants that use tools.
- Context window
- 1.05M tokens
- Maximum output
- 128K tokens
What to compare
- Context window
- Maximum combined prompt and working context documented by the provider.
- Maximum output
- Provider-published response limit, where available.
- Knowledge cutoff
- Latest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff.
How to use this library
Compare the job, not the hype.
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.
- 01
Use first-party documentation for technical limits, lifecycle, pricing, regional access, and data policies whenever it exists.
- 02
Compare models only inside the same category and retain each provider's measurement basis.
- 03
Show Not published when a provider has not published a comparable fact instead of estimating it.
- 04
Treat prices and availability as dated snapshots and link every page to live provider documentation.
Speed keeps its units
Voice latency, text throughput, video render time, and world-model frame rate are not interchangeable.
Unknown stays unknown
A missing release date, country list, or latency number is labeled as unpublished instead of estimated.
Every fact has a date
Model pages link to the underlying source and show when pricing, access, and policies were last checked.
Put the model to work
Pick the model, then give it a better brief.
Use Cody's prompt playbooks to turn a model choice into a repeatable workflow.