Model decision surface
Compare AI models
Start with Nemotron 3.5 Lightning and GLM 4.6V, 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 GLM 4.6V
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Nemotron 3.5 Lightning NVIDIA | GLM 4.6V Z.ai |
|---|---|---|
| ModelCap position | #79 | #77 |
| Index score | 31.7 | 33.3 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $0.08 | $0.30 |
| Output / 1M | $0.20 | $0.90 |
| Pricing status | fresh | fresh |
| Context | 1M | 131K |
| Providers | 3 | 2 |
| Weight access | Restricted license | Open weights |
Decision facts
- Nemotron 3.5 Lightning is #79; GLM 4.6V is #77 on the same current language board.
- Index scores are 31.7 for Nemotron 3.5 Lightning and 33.3 for GLM 4.6V.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.20 for Nemotron 3.5 Lightning and $0.90 for GLM 4.6V.
- Published context is 1,000,000 tokens for Nemotron 3.5 Lightning and 131,072 for GLM 4.6V.
- Weight access differs: Nemotron 3.5 Lightning is restricted; GLM 4.6V is open.
- ModelCap currently lists 3 providers for Nemotron 3.5 Lightning and 2 for GLM 4.6V.
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.