Model decision surface
Compare AI models
Start with Nemotron 3.5 Lightning and o4 Mini, 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 o4 Mini
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Nemotron 3.5 Lightning NVIDIA | o4 Mini OpenAI |
|---|---|---|
| ModelCap position | #89 | #87 |
| Index score | 44.0 | 45.5 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $0.08 | $1.10 |
| Output / 1M | $0.20 | $4.40 |
| Pricing status | fresh | fresh |
| Context | 262K | 200K |
| Providers | 2 | 1 |
| Weight access | Restricted license | API only |
Decision facts
- Nemotron 3.5 Lightning is #89; o4 Mini is #87 on the same current language board.
- Index scores are 44.0 for Nemotron 3.5 Lightning and 45.5 for o4 Mini. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.20 for Nemotron 3.5 Lightning and $4.40 for o4 Mini. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.26 for Nemotron 3.5 Lightning versus $4.40 for o4 Mini. Nemotron 3.5 Lightning costs 94.1% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 262,144 tokens for Nemotron 3.5 Lightning and 200,000 for o4 Mini.
- Weight access differs: Nemotron 3.5 Lightning is restricted; o4 Mini is none.
- ModelCap currently lists 2 providers for Nemotron 3.5 Lightning and 1 for o4 Mini.
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.