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AI model comparison v1.0.0
Use this resource to compare AI models to pick the one that fits your task and budget
New
- 359 downloads
- 189 likes
- 216 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install llm-model-comparisonWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent builds a comparison frame: performance, cost per token, latency, context window, multimodality and licence. It models cost at scale and proposes a head-to-head test on your own task, beyond published benchmarks. It is not for training a model or building a full evaluation framework.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: comparison dimensions and cost model
- SKILL.md: comparison examples for a code review assistant and for a RAG pipeline
Good fit for
- You must pick a model for a coding assistant with a monthly budget
- A provider changes its prices and you want to reassess
Not for
Tags
- models
- comparison
- cost
- latency
- context
About
You say
“Compare two models for a code review assistant, with the estimated cost for 10,000 requests.”
Skill published by community under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to compare AI models to pick the one that fits your task and budget
- Review and adjust the result
Content preview
Files
- LICENSE1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md13.4 KB
Origin and licence
Listed unmodified
- Author
- community
- Source
- github.com/nickcrew/claude-cortex/tree/bb47af79ad3befe01ae01940fcf5f16e30a1b6df/skills/model-comparator
- Licence
- MIT
Notice
« model-comparator » (community, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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