AutoGLM Phone 9B Multilingual

zai-org/autoglm-phone-9b-multilingual

Z.ai (Zhipu)· 66K ctx

open weights quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$0.138 – $0.138 · 2 providers · max÷min 1.0×

2 providers priced · 2 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.

Provider	Input	Output	Cache rd	Blended
Hugging Face inference host	$0.0350	$0.138	—	$0.0444no cache price published
Novita AI inference host	$0.0350	$0.138	—	$0.0444no cache price published

Connect

Provider (default: cheapest output among direct providers)

$0.138 /M · inference host

opencode.json

{
  "provider": {
    "huggingface": {
      "npm": "@ai-sdk/openai-compatible",
      "options": {
        "baseURL": "https://router.huggingface.co/v1"
      },
      "models": {
        "zai-org/AutoGLM-Phone-9B-Multilingual": {}
      }
    }
  }
}

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

Not enough history yet — the min/median/max sparkline fills in as the daily snapshot accumulates.

Data: models.dev (MIT), snapshot 2026-10-17. Prices are vendor-published; verify before purchase. Methodology.