Model decision surface
Compare AI models
Start with Olmo 3.1 32B Think and Nova Pro 1.0, 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
Olmo 3.1 32B Think vs Nova Pro 1.0
Live dataset updated 9/10/2026, 3:47:06 AM UTC
Open 1200×630 evidence receipt| Field | Olmo 3.1 32B Think Allen Institute | Nova Pro 1.0 Amazon |
|---|---|---|
| ModelCap position | #159 | #158 |
| Index score | 17.1 | 18.7 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured2 public benchmark observations across 2 boards |
| Input / 1M | Unavailable | $0.80 |
| Output / 1M | Unavailable | $3.20 |
| Pricing status | unavailable | fresh |
| Context | — | 300K |
| Providers | 0 | 1 |
| Weight access | Open weights | API only |
Decision facts
- Olmo 3.1 32B Think is #159; Nova Pro 1.0 is #158 on the same current language board.
- Index scores are 17.1 for Olmo 3.1 32B Think and 18.7 for Nova Pro 1.0. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Weight access differs: Olmo 3.1 32B Think is open; Nova Pro 1.0 is none.
- ModelCap currently lists 0 providers for Olmo 3.1 32B Think and 1 for Nova Pro 1.0.
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.