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Start with GPT-5.1-Codex-Max and o4 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
GPT-5.1-Codex-Max vs o4 Mini
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | GPT-5.1-Codex-Max OpenAI | o4 Mini OpenAI |
|---|---|---|
| ModelCap position | #109 | #57 |
| Index score | 22.5 | 43.5 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $1.25 | $1.10 |
| Output / 1M | $10.00 | $4.40 |
| Pricing status | fresh | fresh |
| Context | 400K | 200K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- GPT-5.1-Codex-Max is #109; o4 Mini is #57 on the same current language board.
- Index scores are 22.5 for GPT-5.1-Codex-Max and 43.5 for o4 Mini.
- Evidence differs: GPT-5.1-Codex-Max is Estimated; o4 Mini is Measured.
- Listed output price per 1M tokens is $10.00 for GPT-5.1-Codex-Max and $4.40 for o4 Mini.
- Published context is 400,000 tokens for GPT-5.1-Codex-Max and 200,000 for o4 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.