Model decision surface
Compare AI models
Start with Llama 4 Maverick 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
Llama 4 Maverick vs Llama 4 Scout
Live dataset updated 11/7/2026, 12:54:46 AM UTC
Open 1200×630 evidence receipt| Field | Llama 4 Maverick Meta | Llama 4 Scout Meta |
|---|---|---|
| ModelCap position | #223 | #232 |
| Index score | 33.0 | 31.3 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $0.35 | $0.10 |
| Output / 1M | $1.00 | $0.30 |
| Pricing status | fresh | fresh |
| Context | 524K | 1.3M |
| Providers | 3 | 2 |
| Weight access | Gated access | Gated access |
Decision facts
- Llama 4 Maverick is #223; Llama 4 Scout is #232 on the same current language board.
- Index scores are 33.0 for Llama 4 Maverick and 31.3 for Llama 4 Scout. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $1.00 for Llama 4 Maverick and $0.30 for Llama 4 Scout. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.20 for Llama 4 Maverick versus $0.35 for Llama 4 Scout. Llama 4 Scout costs 70.8% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 524,288 tokens for Llama 4 Maverick and 1,310,720 for Llama 4 Scout.
- ModelCap currently lists 3 providers for Llama 4 Maverick and 2 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.