Model decision surface
Compare AI models
Start with GPT-3.5 Turbo Instruct and GPT-5.2 Chat, 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-3.5 Turbo Instruct vs GPT-5.2 Chat
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | GPT-3.5 Turbo Instruct OpenAI | GPT-5.2 Chat OpenAI |
|---|---|---|
| ModelCap position | #107 | #9 |
| Index score | 22.5 | 74.9 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $1.50 | $1.75 |
| Output / 1M | $2.00 | $14.00 |
| Pricing status | fresh | fresh |
| Context | 4K | 128K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- GPT-3.5 Turbo Instruct is #107; GPT-5.2 Chat is #9 on the same current language board.
- Index scores are 22.5 for GPT-3.5 Turbo Instruct and 74.9 for GPT-5.2 Chat.
- Evidence differs: GPT-3.5 Turbo Instruct is Estimated; GPT-5.2 Chat is Measured.
- Listed output price per 1M tokens is $2.00 for GPT-3.5 Turbo Instruct and $14.00 for GPT-5.2 Chat.
- Published context is 4,095 tokens for GPT-3.5 Turbo Instruct and 128,000 for GPT-5.2 Chat.
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.