Model decision surface
Compare AI models
Start with MiniMax M1 80k 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
MiniMax M1 80k vs o4 Mini
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | MiniMax M1 80k MiniMaxAI | o4 Mini OpenAI |
|---|---|---|
| ModelCap position | #86 | #87 |
| Index score | 45.9 | 45.5 |
| Evidence | Estimatedglobal-corpus-prior over 182 held-out anchors (8%); launch card against 5 resolved peers on 9 rows (92%); exceeds every named peer on 1 of 9 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.7 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 | 1M | 200K |
| Providers | 0 | 1 |
| Weight access | Open weights | API only |
Decision facts
- MiniMax M1 80k is #86; o4 Mini is #87 on the same current language board.
- Index scores are 45.9 for MiniMax M1 80k and 45.5 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: MiniMax M1 80k is Estimated; o4 Mini is Measured.
- Published context is 1,000,000 tokens for MiniMax M1 80k and 200,000 for o4 Mini.
- Weight access differs: MiniMax M1 80k is open; o4 Mini is none.
- ModelCap currently lists 0 providers for MiniMax M1 80k 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.