Model decision surface
Compare AI models
Start with Command A and MiniMax M2-her, 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 MiniMax M2-her
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Command A Cohere | MiniMax M2-her MiniMax |
|---|---|---|
| ModelCap position | #86 | #88 |
| Index score | 27.5 | 27.5 |
| Evidence | Measured3 public benchmark observations across 3 boards | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $2.50 | $0.30 |
| Output / 1M | $10.00 | $1.20 |
| Pricing status | fresh | fresh |
| Context | 256K | 66K |
| Providers | 1 | 1 |
| Weight access | Gated access | API only |
Decision facts
- Command A is #86; MiniMax M2-her is #88 on the same current language board.
- Index scores are 27.5 for Command A and 27.5 for MiniMax M2-her.
- Evidence differs: Command A is Measured; MiniMax M2-her is Estimated.
- Listed output price per 1M tokens is $10.00 for Command A and $1.20 for MiniMax M2-her.
- Published context is 256,000 tokens for Command A and 65,536 for MiniMax M2-her.
- Weight access differs: Command A is gated; MiniMax M2-her 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.