Model decision surface
Compare AI models
Start with Gemma 3 12B and Llama 4 Scout, 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 12B vs Llama 4 Scout
Live dataset updated 9/3/2026, 3:28:37 AM UTC
Open 1200×630 evidence receipt| Field | Gemma 3 12B | Llama 4 Scout Meta |
|---|---|---|
| ModelCap position | #175 | #172 |
| Index score | 19.5 | 21.3 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $0.05 | $0.10 |
| Output / 1M | $0.15 | $0.30 |
| Pricing status | fresh | fresh |
| Context | 131K | 1.3M |
| Providers | 1 | 3 |
| Weight access | Gated access | Gated access |
Decision facts
- Gemma 3 12B is #175; Llama 4 Scout is #172 on the same current language board.
- Index scores are 19.5 for Gemma 3 12B and 21.3 for Llama 4 Scout.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.15 for Gemma 3 12B and $0.30 for Llama 4 Scout.
- Published context is 131,072 tokens for Gemma 3 12B and 1,310,720 for Llama 4 Scout.
- ModelCap currently lists 1 providers for Gemma 3 12B and 3 for Llama 4 Scout.
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.