Model decision surface
Compare AI models
Start with GPT-5.2 Chat and GPT-5.3-Codex, 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-5.2 Chat vs GPT-5.3-Codex
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | GPT-5.2 Chat OpenAI | GPT-5.3-Codex OpenAI |
|---|---|---|
| ModelCap position | #9 | #20 |
| Index score | 74.9 | 66.4 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $1.75 | $1.75 |
| Output / 1M | $14.00 | $14.00 |
| Pricing status | fresh | fresh |
| Context | 128K | 400K |
| Providers | 1 | 2 |
| Weight access | API only | API only |
Decision facts
- GPT-5.2 Chat is #9; GPT-5.3-Codex is #20 on the same current language board.
- Index scores are 74.9 for GPT-5.2 Chat and 66.4 for GPT-5.3-Codex.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $14.00 for GPT-5.2 Chat and $14.00 for GPT-5.3-Codex.
- Published context is 128,000 tokens for GPT-5.2 Chat and 400,000 for GPT-5.3-Codex.
- ModelCap currently lists 1 providers for GPT-5.2 Chat and 2 for GPT-5.3-Codex.
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.