Gemma4 31B Splituntied

google/gemma4-31b-splituntied

Google· 262K ctx

open weightstool call quant: unknown

0 providers priced · 0 offerings

Including routers & resellers

Cheapest / median / spread use providers that serve the model on their own capacity: first-party lab, hyperscaler, inference host.

Provider classes in the stats:

Blended $/M assumptionsInput : output: 1Cache-hit share of input%

blended = 90.9% input × [(1 − 70% cache) × input + 70% cache × cache-read] + 9.1% × output + cache writes (30% of uncached input) where a write price is published

A provider that publishes no cache price is blended with cache share 0 (all input at the input price) and labelled “no cache price published” — never penalised against identical in/out prices.

No published pricing for this dimension.

Provider	Input	Output	Cache rd	Blended
NanoGPT router / aggregator	$0.100	$0.300	$0.0500	$0.0864

Connect

Provider (default: cheapest output among direct providers)

$0.300 /M · router / aggregator

Includes routers & resellers — resold capacity; terms, data handling and availability not verified.

opencode.json

{
  "provider": {
    "nano-gpt": {
      "npm": "@ai-sdk/openai-compatible",
      "options": {
        "baseURL": "https://nano-gpt.com/api/v1"
      },
      "models": {
        "google/gemma4-31b-splituntied": {}
      }
    }
  }
}

Set NANO_GPT_API_KEY in your environment. Generated — verify against the OpenCode docs.

Output $/M over time

Median line, min–max band. Pre-2026-09 points are catalog-recorded dates from models.dev git history, not provider effective dates.

Data: models.dev (MIT), snapshot 2026-09-20. Prices are vendor-published; verify before purchase. Methodology.