OpenAI · Stable
GPT-5.6 Sol
OpenAI's flagship general model for difficult coding, analysis, and professional work, with a very large context window and a broad native tool set.
- Context window
- 1.05M tokens
- Maximum output
- 128K tokens
Cody model library
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.
5 researched modelsFacts checked September 3, 2026
Compare up to four models
Comparisons stay within one category so the measurements mean the same thing.
Select models from the cards
Showing 1–5 of 5 models
Anthropic · Stable
Claude Fable 5.1
Anthropic's frontier model for ambitious, long-running agentic and coding work, with strong vision and enterprise marketplace availability.
- Context window
- 1M tokens
- Maximum output
- 128K tokens
Google · Stable
Gemini 3.8 Flash
Google's stable, high-efficiency multimodal model for agents, software work, and large mixed-media inputs at an introductory Flash-tier price.
- Context window
- 1,048,576 tokens
- Maximum output
- 65,536 tokens
SpaceXAI · Stable
Grok 4.6
SpaceXAI's frontier text-and-image model for coding, agentic tasks, and knowledge work, with direct web, X, and code tools.
- Context window
- 500K tokens
- Maximum output
- No published text cap
SpaceXAI · Preview
Grok 4.20 Multi-Agent Beta
A specialist Grok model that sends several AI agents to investigate a difficult question in parallel, then combines their work into one researched answer.
- Context window
- 1,000,000 tokens
- Maximum output
- Not published
How to use this library
Compare the job, not the hype.
A deliberately small starting set of frontier and category-defining models with practical API information.
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 expanded prompt playbooks and curated agent skills to turn a model choice into a repeatable workflow.