Model decision surface
Compare AI models
Start with Kimi K2.7 Code and Laguna M.1, 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
Kimi K2.7 Code vs Laguna M.1
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Kimi K2.7 Code Moonshot AI | Laguna M.1 Poolside |
|---|---|---|
| ModelCap position | #47 | #50 |
| Index score | 59.5 | 58.4 |
| Evidence | Measured2 public benchmark observations across 2 boards | Estimated3 reported rows against measured corpus ladders (55%); global-corpus-prior over 182 held-out anchors (45%); shrunk 4.3 toward the measured corpus |
| Input / 1M | $0.71 | Unavailable |
| Output / 1M | $3.50 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 262K | — |
| Providers | 14 | 0 |
| Weight access | Restricted license | Open weights |
Decision facts
- Kimi K2.7 Code is #47; Laguna M.1 is #50 on the same current language board.
- Index scores are 59.5 for Kimi K2.7 Code and 58.4 for Laguna M.1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Kimi K2.7 Code is Measured; Laguna M.1 is Estimated.
- Weight access differs: Kimi K2.7 Code is restricted; Laguna M.1 is open.
- ModelCap currently lists 14 providers for Kimi K2.7 Code and 0 for Laguna M.1.
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.