Model decision surface
Compare AI models
Start with Ring-2.6-1T and GPT-5.1-Codex-Mini, 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
Ring-2.6-1T vs GPT-5.1-Codex-Mini
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Ring-2.6-1T InclusionAI | GPT-5.1-Codex-Mini OpenAI |
|---|---|---|
| ModelCap position | #61 | #64 |
| Index score | 42.5 | 41.5 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.075 | $0.25 |
| Output / 1M | $0.625 | $2.00 |
| Pricing status | fresh | fresh |
| Context | 262K | 400K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- Ring-2.6-1T is #61; GPT-5.1-Codex-Mini is #64 on the same current language board.
- Index scores are 42.5 for Ring-2.6-1T and 41.5 for GPT-5.1-Codex-Mini.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.63 for Ring-2.6-1T and $2.00 for GPT-5.1-Codex-Mini.
- Published context is 262,144 tokens for Ring-2.6-1T and 400,000 for GPT-5.1-Codex-Mini.
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.