Model decision surface
Compare AI models
Start with cogito v1 preview llama 8B and OpenMath2 Llama3.1 8B, 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
cogito v1 preview llama 8B vs OpenMath2 Llama3.1 8B
Live dataset updated 9/17/2026, 7:03:55 AM UTC
Open 1200×630 evidence receipt| Field | cogito v1 preview llama 8B Deep Cogito | OpenMath2 Llama3.1 8B NVIDIA |
|---|---|---|
| ModelCap position | #212 | #214 |
| Index score | 5.9 | 5.9 |
| Evidence | Inheritedfinetune of meta-llama/Llama-3.1-8B · finetune (100%) | Inheritedfinetune of meta-llama/Llama-3.1-8B · finetune (100%) |
| Input / 1M | Unavailable | Unavailable |
| Output / 1M | Unavailable | Unavailable |
| Pricing status | unavailable | unavailable |
| Context | — | — |
| Providers | 0 | 0 |
| Weight access | Restricted license | Restricted license |
Decision facts
- cogito v1 preview llama 8B is #212; OpenMath2 Llama3.1 8B is #214 on the same current language board.
- Index scores are 5.9 for cogito v1 preview llama 8B and 5.9 for OpenMath2 Llama3.1 8B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Inherited evidence.
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.