Model Intelligence profiles
Data-rich model profiles with benchmarks, leaderboards, and provider comparisons — without duplicating the in-app dynamic pages.
Model Intelligence is a dedicated data portal (separate from the Model Library) that provides benchmark scores, rankings, and detailed technical specs for every discovered model. You can access it at /model-intelligence.
What you can do
| Feature | What it provides |
|---|---|
| All Models | Browse 550+ model profiles with full benchmark data. Each profile page shows the model's scores across intelligence, speed, coding, and instruction-following benchmarks. |
| Leaderboards | Models ranked by intelligence score, request speed (tokens per second), latency, pricing, and context window size. |
| Providers | Aggregate data across 50+ providers — model counts, average scores, and price tiers. |
| Benchmarks | Dedicated per-benchmark pages with model rankings and comparison charts. |
How it relates to the Model Library
The Model Library answers "what models are available" — it is a catalog surface focused on provider, routing, and basic specs. Model Intelligence answers "how good is this model" — it is a research surface with comparative benchmark data.
Both surfaces are kept current from the same model discovery pipeline. The Library is the day-to-day browser; Model Intelligence is the reference for deeper evaluation.
Freshness and limitations
Model Intelligence is refreshed when the model corpus is re-scraped. Key limitations to be aware of:
- Benchmark scores are based on public third-party evaluations and
provider-reported data. Scores may lag behind model updates.
- Not all models have complete profiles. A newly added model may appear
in the Library before its benchmark data populates Intelligence.
- Pricing signals in the profiles are estimates. Always verify pricing
against the provider's published rate sheet.
- Leaderboard rankings reflect the most recent scrape data, not real-time
performance. Run your own evaluation for production-critical decisions.
Opening a profile
From /model-intelligence/models, click any model to open its profile page. The profile page is a dynamic surface generated from the scrape corpus — there is not a separate docs article per model.