Model decision surface
Compare AI models
Start with Nova Micro 1.0 and Command R+ (08-2024), 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
Nova Micro 1.0 vs Command R+ (08-2024)
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Nova Micro 1.0 Amazon | Command R+ (08-2024) Cohere |
|---|---|---|
| ModelCap position | #155 | #152 |
| Index score | 10.9 | 14.8 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.035 | $2.50 |
| Output / 1M | $0.14 | $10.00 |
| Pricing status | fresh | fresh |
| Context | 128K | 128K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- Nova Micro 1.0 is #155; Command R+ (08-2024) is #152 on the same current language board.
- Index scores are 10.9 for Nova Micro 1.0 and 14.8 for Command R+ (08-2024). 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.
- Listed output price per 1M tokens is $0.14 for Nova Micro 1.0 and $10.00 for Command R+ (08-2024). For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.14 for Nova Micro 1.0 versus $10.00 for Command R+ (08-2024). Nova Micro 1.0 costs 98.6% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 128,000 tokens for Nova Micro 1.0 and 128,000 for Command R+ (08-2024).
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.