Model decision surface
Compare AI models
Start with Gemini 3.5 Flash Lite and Nex-N2-Pro, 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 3.5 Flash Lite vs Nex-N2-Pro
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Gemini 3.5 Flash Lite | Nex-N2-Pro Nex AGI |
|---|---|---|
| ModelCap position | #21 | #28 |
| Index score | 65.7 | 61.1 |
| Evidence | Measured5 public benchmark observations across 5 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.30 | $0.25 |
| Output / 1M | $2.50 | $1.00 |
| Pricing status | fresh | fresh |
| Context | 1M | 262K |
| Providers | 2 | 2 |
| Weight access | API only | Open weights |
Decision facts
- Gemini 3.5 Flash Lite is #21; Nex-N2-Pro is #28 on the same current language board.
- Index scores are 65.7 for Gemini 3.5 Flash Lite and 61.1 for Nex-N2-Pro.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $2.50 for Gemini 3.5 Flash Lite and $1.00 for Nex-N2-Pro.
- Published context is 1,048,576 tokens for Gemini 3.5 Flash Lite and 262,144 for Nex-N2-Pro.
- Weight access differs: Gemini 3.5 Flash Lite is none; Nex-N2-Pro is open.
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.