Model decision surface
Compare AI models
Start with Muse Spark 1.2 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
Muse Spark 1.2 vs Kimi K2.7 Code
Live dataset updated 8/17/2026, 11:01:50 PM UTC
Open 1200×630 evidence receipt| Field | Muse Spark 1.2 Meta | Kimi K2.7 Code Moonshot AI |
|---|---|---|
| ModelCap position | #4 | #26 |
| Index score | 81.1 | 63.2 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $1.25 | $0.71 |
| Output / 1M | $4.25 | $3.50 |
| Pricing status | fresh | fresh |
| Context | 1M | 262K |
| Providers | 1 | 14 |
| Weight access | API only | Restricted license |
Decision facts
- Muse Spark 1.2 is #4; Kimi K2.7 Code is #26 on the same current language board.
- Index scores are 81.1 for Muse Spark 1.2 and 63.2 for Kimi K2.7 Code.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $4.25 for Muse Spark 1.2 and $3.50 for Kimi K2.7 Code.
- Published context is 1,048,576 tokens for Muse Spark 1.2 and 262,144 for Kimi K2.7 Code.
- Weight access differs: Muse Spark 1.2 is none; Kimi K2.7 Code is restricted.
- ModelCap currently lists 1 providers for Muse Spark 1.2 and 14 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.