Model decision surface
Compare AI models
Start with Nemotron 3 Super and GPT-4o-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 Super vs GPT-4o-mini
Live dataset updated 9/15/2026, 8:34:26 PM UTC
Open 1200×630 evidence receipt| Field | Nemotron 3 Super NVIDIA | GPT-4o-mini OpenAI |
|---|---|---|
| ModelCap position | #126 | #131 |
| Index score | 38.1 | 35.9 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measuredpublisher-corpus-prior over 193 held-out anchors (61%); 1 specialist-board observation at 2.1% support (39%); shrunk 22.3 up toward the measured corpus |
| Input / 1M | $0.08 | $0.15 |
| Output / 1M | $0.45 | $0.60 |
| Pricing status | fresh | fresh |
| Context | 262K | 128K |
| Providers | 2 | 2 |
| Weight access | Restricted license | API only |
Decision facts
- Nemotron 3 Super is #126; GPT-4o-mini is #131 on the same current language board.
- Index scores are 38.1 for Nemotron 3 Super and 35.9 for GPT-4o-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 $0.45 for Nemotron 3 Super and $0.60 for GPT-4o-mini. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.39 for Nemotron 3 Super versus $0.60 for GPT-4o-mini. Nemotron 3 Super costs 35.8% 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 Super and 128,000 for GPT-4o-mini.
- Weight access differs: Nemotron 3 Super is restricted; GPT-4o-mini is none.
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.