Model decision surface
Compare AI models
Start with Nova Pro 1.0 and Gemma 3 4B, 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 Pro 1.0 vs Gemma 3 4B
Live dataset updated 8/18/2026, 3:36:20 AM UTC
Open 1200×630 evidence receipt| Field | Nova Pro 1.0 Amazon | Gemma 3 4B |
|---|---|---|
| ModelCap position | #191 | #197 |
| Index score | 14.9 | 10.9 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $0.80 | $0.05 |
| Output / 1M | $3.20 | $0.10 |
| Pricing status | fresh | fresh |
| Context | 300K | 131K |
| Providers | 1 | 1 |
| Weight access | API only | Gated access |
Decision facts
- Nova Pro 1.0 is #191; Gemma 3 4B is #197 on the same current language board.
- Index scores are 14.9 for Nova Pro 1.0 and 10.9 for Gemma 3 4B.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $3.20 for Nova Pro 1.0 and $0.10 for Gemma 3 4B.
- Published context is 300,000 tokens for Nova Pro 1.0 and 131,072 for Gemma 3 4B.
- Weight access differs: Nova Pro 1.0 is none; Gemma 3 4B is gated.
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.