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ModelCap

Model decision surface

Compare AI models

Start with Fara1.5 27B and Qwen3.8 Flash, 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

Fara1.5 27B vs Qwen3.8 Flash

Live dataset updated 9/9/2026, 9:50:24 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Fara1.5 27B and Qwen3.8 Flash
Field
Fara1.5 27B

Microsoft

ModelCap position#69#62
Index score52.354.1
EvidenceInheritedfinetune of qwen/qwen3.5-27b · finetune (100%)Estimatedpublisher-corpus-prior over 180 held-out anchors (18%); measured predecessor qwen/qwen3.5-flash-02-23 less the succession penalty (65%); launch card against 4 resolved peers on 9 rows (17%); exceeds every named peer on 7 of 9 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.7 toward the measured corpus
Input / 1MUnavailable$0.15
Output / 1MUnavailable$0.47
Pricing statusunavailablefresh
Context1M
Providers02
Weight accessOpen weightsRestricted license

Decision facts

  • Fara1.5 27B is #69; Qwen3.8 Flash is #62 on the same current language board.
  • Index scores are 52.3 for Fara1.5 27B and 54.1 for Qwen3.8 Flash. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Fara1.5 27B is Inherited; Qwen3.8 Flash is Estimated.
  • Weight access differs: Fara1.5 27B is open; Qwen3.8 Flash is restricted.
  • ModelCap currently lists 0 providers for Fara1.5 27B and 2 for Qwen3.8 Flash.

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.