Model decision surface
Compare AI models
Start with K2 Horizon 32B and o4 Mini, 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
K2 Horizon 32B vs o4 Mini
Live dataset updated 9/17/2026, 7:03:55 AM UTC
Open 1200×630 evidence receipt| Field | o4 Mini OpenAI | |
|---|---|---|
| ModelCap position | #97 | #99 |
| Index score | 47.8 | 46.8 |
| Evidence | Estimatedglobal-corpus-prior over 197 held-out anchors (49%); launch card against 2 resolved peers on 8 rows (51%); exceeds every named peer on 1 of 8 rows; optimism haircut 1.3 from cross-lab-probe; shrunk 3.3 up toward the measured corpus | Measured3 public benchmark observations across 3 boards |
| Input / 1M | Unavailable | $1.10 |
| Output / 1M | Unavailable | $4.40 |
| Pricing status | unavailable | fresh |
| Context | — | 200K |
| Providers | 0 | 1 |
| Weight access | Open weights | API only |
Decision facts
- K2 Horizon 32B is #97; o4 Mini is #99 on the same current language board.
- Index scores are 47.8 for K2 Horizon 32B and 46.8 for o4 Mini. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: K2 Horizon 32B is Estimated; o4 Mini is Measured.
- Weight access differs: K2 Horizon 32B is open; o4 Mini is none.
- ModelCap currently lists 0 providers for K2 Horizon 32B and 1 for o4 Mini.
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.