Model decision surface
Compare AI models
Start with Llama 4 Scout and GPT-5.1-Codex-Max, 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 Scout vs GPT-5.1-Codex-Max
Live dataset updated 8/18/2026, 3:36:20 AM UTC
Open 1200×630 evidence receipt| Field | Llama 4 Scout Meta | GPT-5.1-Codex-Max OpenAI |
|---|---|---|
| ModelCap position | #108 | #113 |
| Index score | 22.4 | 22.1 |
| Evidence | Measured4 public benchmark observations across 4 boards | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.10 | $1.25 |
| Output / 1M | $0.30 | $10.00 |
| Pricing status | fresh | fresh |
| Context | 1.3M | 400K |
| Providers | 4 | 1 |
| Weight access | Gated access | API only |
Decision facts
- Llama 4 Scout is #108; GPT-5.1-Codex-Max is #113 on the same current language board.
- Index scores are 22.4 for Llama 4 Scout and 22.1 for GPT-5.1-Codex-Max.
- Evidence differs: Llama 4 Scout is Measured; GPT-5.1-Codex-Max is Estimated.
- Listed output price per 1M tokens is $0.30 for Llama 4 Scout and $10.00 for GPT-5.1-Codex-Max.
- Published context is 1,310,720 tokens for Llama 4 Scout and 400,000 for GPT-5.1-Codex-Max.
- Weight access differs: Llama 4 Scout is gated; GPT-5.1-Codex-Max is none.
- ModelCap currently lists 4 providers for Llama 4 Scout and 1 for GPT-5.1-Codex-Max.
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.