Model decision surface
Compare AI models
Start with Nemotron 3 Nano 30B A3B and OpenMath2 Llama3.1 70B, 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
Nemotron 3 Nano 30B A3B vs OpenMath2 Llama3.1 70B
Live dataset updated 9/22/2026, 3:10:38 AM UTC
Open 1200×630 evidence receipt| Field | Nemotron 3 Nano 30B A3B NVIDIA | OpenMath2 Llama3.1 70B NVIDIA |
|---|---|---|
| ModelCap position | #172 | #195 |
| Index score | 26.9 | 19.5 |
| Evidence | Measured2 public benchmark observations across 2 boards | Inheritedfinetune of meta-llama/Llama-3.1-70B · finetune (100%) |
| Input / 1M | $0.05 | Unavailable |
| Output / 1M | $0.20 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 262K | — |
| Providers | 4 | 0 |
| Weight access | Restricted license | Restricted license |
Decision facts
- Nemotron 3 Nano 30B A3B is #172; OpenMath2 Llama3.1 70B is #195 on the same current language board.
- Index scores are 26.9 for Nemotron 3 Nano 30B A3B and 19.5 for OpenMath2 Llama3.1 70B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Nemotron 3 Nano 30B A3B is Measured; OpenMath2 Llama3.1 70B is Inherited.
- ModelCap currently lists 4 providers for Nemotron 3 Nano 30B A3B and 0 for OpenMath2 Llama3.1 70B.
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.