Model decision surface
Compare AI models
Start with Nova Pro 1.0 and MiniMax-01, 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 MiniMax-01
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Nova Pro 1.0 Amazon | MiniMax-01 MiniMax |
|---|---|---|
| ModelCap position | #188 | #189 |
| Index score | 15.0 | 13.8 |
| Evidence | Measured2 public benchmark observations across 2 boards | Estimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism |
| Input / 1M | $0.80 | $0.20 |
| Output / 1M | $3.20 | $1.10 |
| Pricing status | fresh | fresh |
| Context | 300K | 1M |
| Providers | 1 | 1 |
| Weight access | API only | License unverified |
Decision facts
- Nova Pro 1.0 is #188; MiniMax-01 is #189 on the same current language board.
- Index scores are 15.0 for Nova Pro 1.0 and 13.8 for MiniMax-01.
- Evidence differs: Nova Pro 1.0 is Measured; MiniMax-01 is Estimated.
- Listed output price per 1M tokens is $3.20 for Nova Pro 1.0 and $1.10 for MiniMax-01.
- Published context is 300,000 tokens for Nova Pro 1.0 and 1,000,192 for MiniMax-01.
- Weight access differs: Nova Pro 1.0 is none; MiniMax-01 is unknown.
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.