Model decision surface
Compare AI models
Start with Nemotron 3.5 Lightning and GPT-5.5 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
Nemotron 3.5 Lightning vs GPT-5.5 Pro
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Nemotron 3.5 Lightning NVIDIA | GPT-5.5 Pro OpenAI |
|---|---|---|
| ModelCap position | #79 | #76 |
| Index score | 31.7 | 35.2 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.08 | $30.00 |
| Output / 1M | $0.20 | $180 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 3 | 1 |
| Weight access | Restricted license | API only |
Decision facts
- Nemotron 3.5 Lightning is #79; GPT-5.5 Pro is #76 on the same current language board.
- Index scores are 31.7 for Nemotron 3.5 Lightning and 35.2 for GPT-5.5 Pro.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.20 for Nemotron 3.5 Lightning and $180.00 for GPT-5.5 Pro.
- Published context is 1,000,000 tokens for Nemotron 3.5 Lightning and 1,050,000 for GPT-5.5 Pro.
- Weight access differs: Nemotron 3.5 Lightning is restricted; GPT-5.5 Pro is none.
- ModelCap currently lists 3 providers for Nemotron 3.5 Lightning and 1 for GPT-5.5 Pro.
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.