Amazon: Nova 2 Lite
amazon/nova-2-lite-v1
Cheapest provider
$0.30 / 1M
Amazon Bedrock
Fastest provider (p95)
166 tok/s
Amazon Bedrock
Intelligence (estimated)
43.0
Family + generation + popularity + price tier
Per-provider performance
Latency / throughput / uptime measured across providers over the last 30 minutes of live traffic. Atlas’s router weighs these per call (with the eval-gate signal) when picking a variant for Standard and Batch tiers.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| Amazon Bedrock | full· unknown | $0.3000 | $2.5000 | 547ms / 6327ms | 72 / 166 tok/s | 98.61% | 100.0% |
| Amazon Bedrock | full· unknown | $0.3000 | $2.5000 | 547ms / 6327ms | 72 / 166 tok/s | 100.00% | 100.0% |
“—” means live telemetry hasn’t accumulated enough recent traffic for that endpoint. “undisclosed” means the provider serves the model but doesn’t expose the quantization label (typically running fp8 / int8 internally).
Intelligence estimate
No public benchmark numbers indexed for this model yet, so the leaderboard score is derived from the catalogue data we sync: model family standing, generation, and live usage rank — applied identically to open- and closed-weight models. The heuristic ceiling sits below confirmed-benchmark frontier models so curated rankings stay clearly on top.
- ·unknown family base
- ·≥1M context +1
- ·compact variant -8
Want a curated score? File a benchmark report and we’ll add it to the next sync.
How Atlas routes Amazon: Nova 2 Lite
- Realtime tier — direct passthrough at the upstream’s native precision. Best for hard latency / quality guarantees.
- Standard tier — Atlas picks the cheapest provider variant whose quantization has stayed green on your operation’s eval gates. For Amazon: Nova 2 Lite that’s currently Amazon Bedrock at $0.30/1M.
- Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.