Anthropic
Claude Sonnet 5.5
Everyday coding, polished documents and fast iteration.
The models behind your work in cYpher.camp
Choose a model for the work you want to do in AI Studio or with an AI Hire. Start with a good fit, review the result, and change models when the job calls for it.
Find my starting point Free to explore. No credits used here.Create a marketing campaign Return to your course →
01 / Match the model to the work
Choose the job. Then choose what matters most.
Your shortlist · Fix or write code
Try, review, adjust.Anthropic
Everyday coding, polished documents and fast iteration.
Everyday coding and work involving several tools or steps.
OpenAI
Visual reasoning, clear writing and focused code fixes.
Recommendations based on provider documentation, not a measured cYpher ranking. These models power work in AI Studio and your AI Hires. Model access follows your plan; both use your plan’s shared AI credits. You review the Studio credit estimate before sending.
See plans for this work02 / Follow the work
A task can involve much more than its final answer. Tap a step to see what happens.
Step 01
Your instructions, documents and conversation become input. Longer context can mean more credits.
Illustration, not a model speed comparison.
03 / Change the assumptions
Try different models and attempt counts. A higher rate can still produce a lower total—if fewer attempts are needed.
Each segment is one attempt. Later attempts carry more conversation.
Each segment is one attempt. Later attempts carry more conversation.
Path B uses 8 fewer credits under these assumptions. That does not predict which model will finish your task.
Each attempt reads the starting context plus 2,000 tokens for every previous answer, and produces 2,000 answer or thinking tokens. Each request rounds up to at least one credit. We assume no cache hits and exclude tools and separate tool charges.
Rates use cYpher’s current Standard credit policy for short requests. DeepSeek uses peak rates; Haiku uses its short-request rate. Carbon’s introductory rate applies through November 30, 2026, then its Standard rate applies. The attempt counts are your assumptions, not measured success rates. Your actual estimate appears in AI Studio before you send.
04 / Meet the whole lineup
Explore all 14 models. Start with a clear job, then judge the result—not the name.
Everyday coding and work involving several tools or steps.
A starting point based on the provider’s published guidance. Tools, instructions and reasoning settings also affect the result.
Try this model Read the provider source ↗What the research shows
Anthropic reports Fable 5.2 at High effort matching Opus 5.5’s best FrontierCode result at roughly half the cost per task.
Read the evaluation ↗In Anthropic’s latency evaluation, Sonnet finished sooner than Haiku because it wrote fewer tokens, even though Haiku generated them faster.
Read the experiment ↗These are provider-reported examples under specific test conditions, not cYpher benchmarks or predictions for your job. Recommendations reviewed November 12, 2026.
Your next useful step
Your course shows you how. AI Studio is where you try the task. Your plan provides access and shared AI credits for Studio and your Hires.
Tried a model? Found something useful? Compare notes with people in Camp →