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ModelCap

Model decision surface

Compare AI models

Start with Nanbeige4.1 3B and Qwen3 30B A3B Instruct 2507, 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

Nanbeige4.1 3B vs Qwen3 30B A3B Instruct 2507

Live dataset updated 9/9/2026, 10:25:31 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Nanbeige4.1 3B and Qwen3 30B A3B Instruct 2507
Field
ModelCap position#93#91
Index score43.544.2
EvidenceEstimatedglobal-corpus-prior over 183 held-out anchors (19%); launch card against 2 resolved peers on 6 rows (81%); exceeds every named peer on 5 of 6 rows; optimism haircut 3 from cross-lab-probe; shrunk 2.3 up toward the measured corpusMeasured2 public benchmark observations across 2 boards
Input / 1MUnavailable$0.048
Output / 1MUnavailable$0.193
Pricing statusunavailablefresh
Context—262K
Providers04
Weight accessOpen weightsOpen weights

Decision facts

  • Nanbeige4.1 3B is #93; Qwen3 30B A3B Instruct 2507 is #91 on the same current language board.
  • Index scores are 43.5 for Nanbeige4.1 3B and 44.2 for Qwen3 30B A3B Instruct 2507. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Nanbeige4.1 3B is Estimated; Qwen3 30B A3B Instruct 2507 is Measured.
  • ModelCap currently lists 0 providers for Nanbeige4.1 3B and 4 for Qwen3 30B A3B Instruct 2507.

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.