Skip to content
ModelCap

Model decision surface

Compare AI models

Start with NextCoder 32B and SWE Dev 32B, 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

NextCoder 32B vs SWE Dev 32B

Live dataset updated 9/15/2026, 7:09:11 PM UTC

Open 1200×630 evidence receipt
Factual comparison of NextCoder 32B and SWE Dev 32B
Field
NextCoder 32B

Microsoft

ModelCap position#183#184
Index score14.714.7
EvidenceInheritedfinetune of qwen/qwen-2.5-coder-32b-instruct · finetune (100%)Inheritedfinetune of qwen/qwen-2.5-coder-32b-instruct · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • NextCoder 32B is #183; SWE Dev 32B is #184 on the same current language board.
  • Index scores are 14.7 for NextCoder 32B and 14.7 for SWE Dev 32B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Inherited evidence.

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.