Model decision surface
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Start with GPT-4 Turbo 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
GPT-4 Turbo vs GPT-5.1-Codex-Max
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | GPT-4 Turbo OpenAI | GPT-5.1-Codex-Max OpenAI |
|---|---|---|
| ModelCap position | #173 | #109 |
| Index score | 20.9 | 22.5 |
| Evidence | Measured3 public benchmark observations across 3 boards | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $10.00 | $1.25 |
| Output / 1M | $30.00 | $10.00 |
| Pricing status | fresh | fresh |
| Context | 128K | 400K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- GPT-4 Turbo is #173; GPT-5.1-Codex-Max is #109 on the same current language board.
- Index scores are 20.9 for GPT-4 Turbo and 22.5 for GPT-5.1-Codex-Max.
- Evidence differs: GPT-4 Turbo is Measured; GPT-5.1-Codex-Max is Estimated.
- Listed output price per 1M tokens is $30.00 for GPT-4 Turbo and $10.00 for GPT-5.1-Codex-Max.
- Published context is 128,000 tokens for GPT-4 Turbo and 400,000 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.