Ling 3.0 Flash Sante

inclusionai/ling-3.0-flash-sante

inclusionAI (Ant Group)· 2026-09-04· 256K ctx

API onlytool callreasoning quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$0.220 – $0.220 · 1 providers · max÷min 1.0×

1 provider priced · 1 offering · 3 omitted (stale)

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
Novita AI inference host	$0.0750	$0.220	$0.0150	$0.0500
Vercel AI Gateway router / aggregator	$0.0750	$0.220	$0.0150	$0.0500

Free tiers (rate-limited) · 2

No payment required; rate limits and quotas apply (not tracked yet). Excluded from cheapest, median and spread.

Kilo Gateway inclusionai/ling-3.0-flash-sante:freefree tier
OpenRouter inclusionai/ling-3.0-flash-sante:freeOpenRouter account + API keyfree tier

Unpriced · 1

Listed at $0 with no published pricing — we can't tell whether it's free, bundled or just missing. Excluded from cheapest, median and spread.

Vercel AI Gateway inclusionai/ling-3.0-flash-sante-freeunpriced

Connect

Provider (default: cheapest output among direct providers)

$0.220 /M · inference host

opencode.json

{
  "provider": {
    "novita-ai": {
      "npm": "@ai-sdk/openai-compatible",
      "options": {
        "baseURL": "https://api.novita.ai/openai"
      },
      "models": {
        "inclusionai/ling-3.0-flash-sante": {}
      }
    }
  }
}

Set NOVITA_API_KEY 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.