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ModelCap

Model decision surface

Compare AI models

Start with Gemma SEA LION v4 4B VL and LFM2 8B A1B, 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

Gemma SEA LION v4 4B VL vs LFM2 8B A1B

Live dataset updated 9/13/2026, 2:40:29 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma SEA LION v4 4B VL and LFM2 8B A1B
Field
LFM2 8B A1B

LiquidAI

ModelCap position#167#169
Index score18.818.5
EvidenceInheritedfinetune of google/gemma-3-4b-it · finetune (100%)Estimatedglobal-corpus-prior over 186 held-out anchors (19%); launch card against 3 resolved peers on 10 rows (81%); exceeds every named peer on 8 of 10 rows; optimism haircut 9.5 from cross-lab-probe; shrunk 8 up toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessRestricted licenseRestricted license

Decision facts

  • Gemma SEA LION v4 4B VL is #167; LFM2 8B A1B is #169 on the same current language board.
  • Index scores are 18.8 for Gemma SEA LION v4 4B VL and 18.5 for LFM2 8B A1B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemma SEA LION v4 4B VL is Inherited; LFM2 8B A1B is Estimated.

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.