Model decision surface
Compare AI models
Start with Sakana Namazu and Apertus 70B Instruct 2509, 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
Sakana Namazu vs Apertus 70B Instruct 2509
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Sakana Namazu Sakana AI | Apertus 70B Instruct 2509 Swiss Ai |
|---|---|---|
| ModelCap position | #157 | #160 |
| Index score | 22.5 | 22.5 |
| Evidence | Estimatedglobal corpus prior · leave-one-anchor-out calibrated | Estimatedglobal corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.95 | Unavailable |
| Output / 1M | $4.00 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 262K | — |
| Providers | 1 | 0 |
| Weight access | API only | Open weights |
Decision facts
- Sakana Namazu is #157; Apertus 70B Instruct 2509 is #160 on the same current language board.
- Index scores are 22.5 for Sakana Namazu and 22.5 for Apertus 70B Instruct 2509.
- Both positions use Estimated evidence.
- Weight access differs: Sakana Namazu is none; Apertus 70B Instruct 2509 is open.
- ModelCap currently lists 1 providers for Sakana Namazu and 0 for Apertus 70B Instruct 2509.
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.