Model decision surface
Compare AI models
Start with Gemma 3 27B and MiniMax M1 80k, 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
Gemma 3 27B vs MiniMax M1 80k
Live dataset updated 9/3/2026, 3:06:08 AM UTC
Open 1200×630 evidence receipt| Field | Gemma 3 27B | MiniMax M1 80k MiniMaxAI |
|---|---|---|
| ModelCap position | #90 | #171 |
| Index score | 28.5 | 21.4 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.08 | Unavailable |
| Output / 1M | $0.45 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 131K | 1M |
| Providers | 4 | 0 |
| Weight access | Gated access | Open weights |
Decision facts
- Gemma 3 27B is #90; MiniMax M1 80k is #171 on the same current language board.
- Index scores are 28.5 for Gemma 3 27B and 21.4 for MiniMax M1 80k.
- Both positions use Measured evidence.
- Published context is 131,072 tokens for Gemma 3 27B and 1,000,000 for MiniMax M1 80k.
- Weight access differs: Gemma 3 27B is gated; MiniMax M1 80k is open.
- ModelCap currently lists 4 providers for Gemma 3 27B and 0 for MiniMax M1 80k.
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.