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ModelCap

Model decision surface

Compare AI models

Start with Fara1.5 27B and Qwen3 VL 235B A22B Instruct, 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 VL 235B A22B Instruct

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Fara1.5 27B and Qwen3 VL 235B A22B Instruct
Field
Fara1.5 27B

Microsoft

ModelCap position#48#51
Index score51.047.3
EvidenceInheritedfinetune · finetuneMeasured3 public benchmark observations across 3 boards
Input / 1MUnavailable$0.21
Output / 1MUnavailable$1.90
Pricing statusunavailablefresh
Context—262K
Providers05
Weight accessOpen weightsOpen weights

Decision facts

  • Fara1.5 27B is #48; Qwen3 VL 235B A22B Instruct is #51 on the same current language board.
  • Index scores are 51.0 for Fara1.5 27B and 47.3 for Qwen3 VL 235B A22B Instruct.
  • Evidence differs: Fara1.5 27B is Inherited; Qwen3 VL 235B A22B Instruct is Measured.
  • ModelCap currently lists 0 providers for Fara1.5 27B and 5 for Qwen3 VL 235B A22B Instruct.

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.