Model decision surface
Compare AI models
Start with Gemini 3.7 Flash 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 3.7 Flash vs GPT-5.3-Codex
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Gemini 3.7 Flash | GPT-5.3-Codex OpenAI |
|---|---|---|
| ModelCap position | #14 | #20 |
| Index score | 73.1 | 66.4 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.375 | $1.75 |
| Output / 1M | $1.88 | $14.00 |
| Pricing status | fresh | fresh |
| Context | 1M | 400K |
| Providers | 2 | 2 |
| Weight access | API only | API only |
Decision facts
- Gemini 3.7 Flash is #14; GPT-5.3-Codex is #20 on the same current language board.
- Index scores are 73.1 for Gemini 3.7 Flash and 66.4 for GPT-5.3-Codex.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $1.88 for Gemini 3.7 Flash and $14.00 for GPT-5.3-Codex.
- Published context is 1,048,576 tokens for Gemini 3.7 Flash 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.