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ModelCap

Model decision surface

Compare AI models

Start with Gemma 4 26B A4B and Laguna M.1, 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 4 26B A4B vs Laguna M.1

Live dataset updated 9/10/2026, 3:47:06 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 4 26B A4B and Laguna M.1
Field
Laguna M.1

Poolside

ModelCap position#38#40
Index score65.264.5
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedglobal-corpus-prior over 184 held-out anchors (6%); launch card against 3 resolved peers on 3 rows (94%); optimism haircut 0 from cross-lab-probe; shrunk 0.8 toward the measured corpus
Input / 1M$0.07Unavailable
Output / 1M$0.34Unavailable
Pricing statusfreshunavailable
Context262K—
Providers90
Weight accessOpen weightsOpen weights

Decision facts

  • Gemma 4 26B A4B is #38; Laguna M.1 is #40 on the same current language board.
  • Index scores are 65.2 for Gemma 4 26B A4B and 64.5 for Laguna M.1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemma 4 26B A4B is Measured; Laguna M.1 is Estimated.
  • ModelCap currently lists 9 providers for Gemma 4 26B A4B and 0 for Laguna M.1.

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.