Model decision surface

Compare AI models

Start with Fara1.5 27B and Qwen3.6 35B A3B, 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.

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Current public data

Fara1.5 27B vs Qwen3.6 35B A3B

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

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Factual comparison of Fara1.5 27B and Qwen3.6 35B A3B
Field	Fara1.5 27B Microsoft	Qwen3.6 35B A3B Qwen
ModelCap position	#69	#78
Index score	52.3	49.6
Evidence	Inheritedfinetune of qwen/qwen3.5-27b · finetune (100%)	Estimatedpublisher-corpus-prior over 180 held-out anchors (22%); opens from measured predecessor qwen/qwen3.5-35b-a3b (78%); shrunk 0.4 up toward the measured corpus
Input / 1M	Unavailable	$0.10
Output / 1M	Unavailable	$0.90
Pricing status	unavailable	fresh
Context	—	262K
Providers	0	10
Weight access	Open weights	Open weights

Decision facts

Fara1.5 27B is #69; Qwen3.6 35B A3B is #78 on the same current language board.
Index scores are 52.3 for Fara1.5 27B and 49.6 for Qwen3.6 35B A3B. 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; Qwen3.6 35B A3B is Estimated.
ModelCap currently lists 0 providers for Fara1.5 27B and 10 for Qwen3.6 35B A3B.

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

Popular comparisons

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