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Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
Passed 20 of 20 test cases with the skill, and 5 of 20 without it.
and 22 more in the full report
16 fixed6 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need a specialized code completion LLM from Mistral AI supporting over 80 programming languages. What API model string identifier should we pass in our Mistral SDK client?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies codestral-2508 for code generation tasks. | Missed | Passed |
The instructions your model reads when the skill loads.
Last Updated: December 2025
Use the right model for the job. Bigger isn't always better - match model capabilities to task requirements. Consider cost, latency, and accuracy tradeoffs.
| Task | Recommended | Why |
|---|---|---|
| Complex reasoning | Claude Opus 4.5, o3, Gemini 3 Pro | Highest accuracy |
| Fast chat/completion | Claude Haiku, GPT-4.1 mini, Gemini Flash | Low latency, cheap |
| Code generation | Claude Sonnet 4.5, Codestral, GPT-4.1 | Strong coding |
| Vision/images | Claude Sonnet, GPT-4o, Gemini 3 Pro | Multimodal |
| Embeddings | text-embedding-3-small, Voyage | Cost-effective |
| Voice synthesis | Eleven Labs v3, OpenAI TTS | Natural sounding |
| Image generation | FLUX.2, DALL-E 3, SD 3.5 | Different styles |
const CLAUDE_MODELS = {
// Flagship - highest capability
opus: 'claude-opus-4-5-20251101',
// Balanced - best for most tasks
sonnet: 'claude-sonnet-4-5-20250929',
test cases passed, vs 5 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.