Model decision surface
Compare AI models
Start with Mistral Nemo and Nemotron Nano 9B V2, 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
Mistral Nemo vs Nemotron Nano 9B V2
Live dataset updated 8/18/2026, 3:36:20 AM UTC
Open 1200×630 evidence receipt| Field | Mistral Nemo Mistral AI | Nemotron Nano 9B V2 NVIDIA |
|---|---|---|
| ModelCap position | #230 | #217 |
| Index score | 0.0 | 2.7 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.019 | Free |
| Output / 1M | $0.03 | Free |
| Pricing status | fresh | fresh |
| Context | 131K | 128K |
| Providers | 4 | 1 |
| Weight access | Open weights | Restricted license |
Decision facts
- Mistral Nemo is #230; Nemotron Nano 9B V2 is #217 on the same current language board.
- Index scores are 0.0 for Mistral Nemo and 2.7 for Nemotron Nano 9B V2.
- Evidence differs: Mistral Nemo is Estimated; Nemotron Nano 9B V2 is Measured.
- Listed output price per 1M tokens is $0.03 for Mistral Nemo and $0 for Nemotron Nano 9B V2.
- Published context is 131,072 tokens for Mistral Nemo and 128,000 for Nemotron Nano 9B V2.
- Weight access differs: Mistral Nemo is open; Nemotron Nano 9B V2 is restricted.
- ModelCap currently lists 4 providers for Mistral Nemo and 1 for Nemotron Nano 9B V2.
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.