Model decision surface
Compare AI models
Start with Llama Guard 4 12B and Voxtral Small 24B 2507, 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
Llama Guard 4 12B vs Voxtral Small 24B 2507
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Voxtral Small 24B 2507 Mistral AI | |
|---|---|---|
| ModelCap position | #229 | #228 |
| Index score | 0.0 | 0.0 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.18 | $0.10 |
| Output / 1M | $0.18 | $0.30 |
| Pricing status | fresh | fresh |
| Context | 1M | 32K |
| Providers | 2 | 1 |
| Weight access | Gated access | Open weights |
Decision facts
- Llama Guard 4 12B is #229; Voxtral Small 24B 2507 is #228 on the same current language board.
- Index scores are 0.0 for Llama Guard 4 12B and 0.0 for Voxtral Small 24B 2507.
- Both positions use Estimated evidence.
- Listed output price per 1M tokens is $0.18 for Llama Guard 4 12B and $0.30 for Voxtral Small 24B 2507.
- Published context is 1,048,576 tokens for Llama Guard 4 12B and 32,000 for Voxtral Small 24B 2507.
- Weight access differs: Llama Guard 4 12B is gated; Voxtral Small 24B 2507 is open.
- ModelCap currently lists 2 providers for Llama Guard 4 12B and 1 for Voxtral Small 24B 2507.
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.