gemma 4 12B it (Google) and Laguna M.1 (Poolside) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 13 September 2026
As of 13 September 2026, Laguna M.1 holds the stronger ModelCap Index position (#44 vs #47).
Evidence: publisher-corpus-prior over 186 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 · global-corpus-prior over 186 held-out anchors (7%); launch card against 4 resolved peers on 4 rows (93%); optimism haircut 0 from cross-lab-probe; shrunk 0.8 toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: gemma 4 12B it vs Laguna M.1
Neither model has a published result on a public benchmark board ModelCap tracks yet.
Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.
Laguna M.1 ranks higher on the ModelCap Index as of 13 September 2026: #44 against #47. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is gemma 4 12B it cheaper than Laguna M.1?
At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.
Which has the bigger context window, gemma 4 12B it or Laguna M.1?
Both publish a —-token context window.
Which is better for coding, gemma 4 12B it or Laguna M.1?
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
Are gemma 4 12B it and Laguna M.1 open-weight models?
gemma 4 12B it: Open weights. Laguna M.1: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run gemma 4 12B it and Laguna M.1?
ModelCap currently lists 0 API providers for gemma 4 12B it and 0 for Laguna M.1, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this gemma 4 12B it vs Laguna M.1 comparison?
Every figure comes from the sealed ModelCap dataset published 13 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.