Model decision surface
Compare AI models
Start with MiniMax M2-her and Kimi K2.7 Code, 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
MiniMax M2-her vs Kimi K2.7 Code
Live dataset updated 9/3/2026, 3:06:08 AM UTC
Open 1200×630 evidence receipt| Field | MiniMax M2-her MiniMax | Kimi K2.7 Code Moonshot AI |
|---|---|---|
| ModelCap position | #89 | #30 |
| Index score | 28.9 | 62.2 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $0.30 | $0.66 |
| Output / 1M | $1.20 | $3.40 |
| Pricing status | fresh | fresh |
| Context | 66K | 262K |
| Providers | 1 | 15 |
| Weight access | API only | Restricted license |
Decision facts
- MiniMax M2-her is #89; Kimi K2.7 Code is #30 on the same current language board.
- Index scores are 28.9 for MiniMax M2-her and 62.2 for Kimi K2.7 Code.
- Evidence differs: MiniMax M2-her is Estimated; Kimi K2.7 Code is Measured.
- Listed output price per 1M tokens is $1.20 for MiniMax M2-her and $3.40 for Kimi K2.7 Code.
- Published context is 65,536 tokens for MiniMax M2-her and 262,144 for Kimi K2.7 Code.
- Weight access differs: MiniMax M2-her is none; Kimi K2.7 Code is restricted.
- ModelCap currently lists 1 providers for MiniMax M2-her and 15 for Kimi K2.7 Code.
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.