Model decision surface
Compare AI models
Start with granite 4.2 30b 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
granite 4.2 30b vs MiniMax M2-her
Live dataset updated 9/3/2026, 2:54:47 AM UTC
Open 1200×630 evidence receipt| Field | granite 4.2 30b IBM Granite | MiniMax M2-her MiniMax |
|---|---|---|
| ModelCap position | #86 | #89 |
| Index score | 30.4 | 28.9 |
| Evidence | Measured3 public benchmark observations across 3 boards | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | Unavailable | $0.30 |
| Output / 1M | Unavailable | $1.20 |
| Pricing status | unavailable | fresh |
| Context | 131K | 66K |
| Providers | 0 | 1 |
| Weight access | Open weights | API only |
Decision facts
- granite 4.2 30b is #86; MiniMax M2-her is #89 on the same current language board.
- Index scores are 30.4 for granite 4.2 30b and 28.9 for MiniMax M2-her.
- Evidence differs: granite 4.2 30b is Measured; MiniMax M2-her is Estimated.
- Published context is 131,072 tokens for granite 4.2 30b and 65,536 for MiniMax M2-her.
- Weight access differs: granite 4.2 30b is open; MiniMax M2-her is none.
- ModelCap currently lists 0 providers for granite 4.2 30b and 1 for MiniMax M2-her.
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.