Nova Lite 1.0

amazon/nova-lite-v1

Amazon· 2024-12-05· 300K ctx

API only 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	$0.0595	$0.238	$0.0297	$0.0568
Kilo Gateway router / aggregator	$0.0600	$0.240	—	$0.0764no cache price published
OpenRouter router / aggregator	$0.0600	$0.240	—	$0.0764no cache price published
Cortecs router / aggregator	$0.0690	$0.275	—	$0.0877no cache price published
AI/ML API unclassified	$0.0825	$0.330	—	$0.105no cache price published

Connect

Provider (default: cheapest output among direct providers)

$0.238 /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": {
        "amazon/nova-lite-v1": {}
      }
    }
  }
}

Set NANO_GPT_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.