Model decision surface
Compare AI models
Start with Gemini 3.1 Pro Preview 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
Gemini 3.1 Pro Preview vs GPT-5.3-Codex
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Gemini 3.1 Pro Preview | GPT-5.3-Codex OpenAI |
|---|---|---|
| ModelCap position | #7 | #20 |
| Index score | 78.2 | 66.4 |
| Evidence | Measured4 public benchmark observations across 4 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $2.00 | $1.75 |
| Output / 1M | $12.00 | $14.00 |
| Pricing status | fresh | fresh |
| Context | 1M | 400K |
| Providers | 2 | 2 |
| Weight access | API only | API only |
Decision facts
- Gemini 3.1 Pro Preview is #7; GPT-5.3-Codex is #20 on the same current language board.
- Index scores are 78.2 for Gemini 3.1 Pro Preview and 66.4 for GPT-5.3-Codex.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $12.00 for Gemini 3.1 Pro Preview and $14.00 for GPT-5.3-Codex.
- Published context is 1,048,576 tokens for Gemini 3.1 Pro Preview and 400,000 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.