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ModelCap

Model decision surface

Compare AI models

Start with Mercury 2.5 and Nemotron 3 Super, 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

Mercury 2.5 vs Nemotron 3 Super

Live dataset updated 9/13/2026, 2:40:29 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Mercury 2.5 and Nemotron 3 Super
Field
Mercury 2.5

Inception Labs

ModelCap position#121#118
Index score37.337.7
EvidenceEstimatedglobal-corpus-prior over 186 held-out anchors (23%); opens from measured predecessor inception/mercury-2 (77%); shrunk 4.4 up toward the measured corpusMeasured2 public benchmark observations across 2 boards
Input / 1M$0.04$0.085
Output / 1M$0.15$0.40
Pricing statusfreshfresh
Context260K262K
Providers12
Weight accessAPI onlyRestricted license

Decision facts

  • Mercury 2.5 is #121; Nemotron 3 Super is #118 on the same current language board.
  • Index scores are 37.3 for Mercury 2.5 and 37.7 for Nemotron 3 Super. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Mercury 2.5 is Estimated; Nemotron 3 Super is Measured.
  • Listed output price per 1M tokens is $0.15 for Mercury 2.5 and $0.40 for Nemotron 3 Super. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.15 for Mercury 2.5 versus $0.37 for Nemotron 3 Super. Mercury 2.5 costs 58.1% 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 260,000 tokens for Mercury 2.5 and 262,144 for Nemotron 3 Super.
  • Weight access differs: Mercury 2.5 is none; Nemotron 3 Super is restricted.
  • ModelCap currently lists 1 providers for Mercury 2.5 and 2 for Nemotron 3 Super.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

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.