Model decision surface

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Start with gemma 4 12B it and Ling 3.0 Flash VL, 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

gemma 4 12B it vs Ling 3.0 Flash VL

Live dataset updated 9/15/2026, 9:19:37 PM UTC

Open 1200×630 evidence receipt

Factual comparison of gemma 4 12B it and Ling 3.0 Flash VL
Field	gemma 4 12B it Google	Ling 3.0 Flash VL InclusionAI
ModelCap position	#47	#59
Index score	61.7	57.6
Evidence	Estimatedpublisher-corpus-prior over 194 held-out anchors (7%); launch card against 3 resolved peers on 6 rows (93%); no cross-lab optimism probe available; shrunk 0.2 up toward the measured corpus	Measured1 public benchmark observation across 1 board
Input / 1M	Unavailable	$0.06
Output / 1M	Unavailable	$0.18
Pricing status	unavailable	fresh
Context	—	131K
Providers	0	1
Weight access	Open weights	Open weights

Decision facts

gemma 4 12B it is #47; Ling 3.0 Flash VL is #59 on the same current language board.
Index scores are 61.7 for gemma 4 12B it and 57.6 for Ling 3.0 Flash VL. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: gemma 4 12B it is Estimated; Ling 3.0 Flash VL is Measured.
ModelCap currently lists 0 providers for gemma 4 12B it and 1 for Ling 3.0 Flash VL.

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

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