Model decision surface
Compare AI models
Start with Nova Premier 1.0 and GPT-4o-mini, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
Nova Premier 1.0 vs GPT-4o-mini
Live dataset updated 8/18/2026, 3:23:39 AM UTC
Open 1200×630 evidence receipt| Field | Nova Premier 1.0 Amazon | GPT-4o-mini OpenAI |
|---|---|---|
| ModelCap position | #233 | #219 |
| Index score | 0.0 | 1.1 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $2.50 | $0.15 |
| Output / 1M | $12.50 | $0.60 |
| Pricing status | fresh | fresh |
| Context | 1M | 128K |
| Providers | 1 | 2 |
| Weight access | API only | API only |
Decision facts
- Nova Premier 1.0 is #233; GPT-4o-mini is #219 on the same current language board.
- Index scores are 0.0 for Nova Premier 1.0 and 1.1 for GPT-4o-mini.
- Evidence differs: Nova Premier 1.0 is Estimated; GPT-4o-mini is Measured.
- Listed output price per 1M tokens is $12.50 for Nova Premier 1.0 and $0.60 for GPT-4o-mini.
- Published context is 1,000,000 tokens for Nova Premier 1.0 and 128,000 for GPT-4o-mini.
- ModelCap currently lists 1 providers for Nova Premier 1.0 and 2 for GPT-4o-mini.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.