Strongest coding focus
GPT-5.4 and Claude Opus 4.6 both position coding and agentic workflows as primary strengths.
Official-page based evaluator
Paste your real work. Get the right model mix.
This site consolidates official product pages for GPT-5.4, Claude Opus 4.6, Gemini 3.1 Pro, and Gemini 3.1 Flash Live, then turns those specs into a practical recommendation engine for coding, research, spreadsheets, live voice, and long-context work.
Model facts
Use this as the evidence layer before you trust the evaluator. The table separates official claims from product-fit notes so you can challenge the defaults.
| Model | Official page highlights | Pricing | Context / limits | Benchmark claims | Tool / live capabilities | Likely failure modes |
|---|
Task evaluator
Paste a real task, choose the dominant work type, and tune cost, speed, and context sensitivity. The engine recommends one primary model and one backup.
Recommendation
The engine scores fit on a 100-point scale. It also exposes the tradeoff behind the recommendation so you can override it fast.
Side-by-side prompt runners
These panes generate model-specific starter prompts and evaluation checklists. Paste them into your own playgrounds or vendor consoles, then score outputs consistently.
Scorecards
Use a repeatable rubric after each run. The default scorecards balance observed delivery quality with operational fit.
Best team of models
This router splits a workflow into subtasks and assigns each to the model most likely to perform well for that slice of work.
Routed plan
The router is opinionated by default: use specialized models for their strongest lane, then hand off to a synthesizer if needed.
How to use this in practice
Start with the evaluator for a quick pick. Use prompt runners when you want a fair shootout on the same task. Use the router for compound workflows where no single model should own everything.