Model decision surface
Compare AI models
Start with Command A and Command R7B (12-2024), 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
Command A vs Command R7B (12-2024)
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Command A Cohere | Command R7B (12-2024) Cohere |
|---|---|---|
| ModelCap position | #86 | #231 |
| Index score | 27.5 | 0.0 |
| Evidence | Measured3 public benchmark observations across 3 boards | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $2.50 | $0.037 |
| Output / 1M | $10.00 | $0.15 |
| Pricing status | fresh | fresh |
| Context | 256K | 128K |
| Providers | 1 | 1 |
| Weight access | Gated access | API only |
Decision facts
- Command A is #86; Command R7B (12-2024) is #231 on the same current language board.
- Index scores are 27.5 for Command A and 0.0 for Command R7B (12-2024).
- Evidence differs: Command A is Measured; Command R7B (12-2024) is Estimated.
- Listed output price per 1M tokens is $10.00 for Command A and $0.15 for Command R7B (12-2024).
- Published context is 256,000 tokens for Command A and 128,000 for Command R7B (12-2024).
- Weight access differs: Command A is gated; Command R7B (12-2024) is none.
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.