Context
1.0M tokens (~500 books)
Input $/1M
$0.30
Output $/1M
$2.50
Type
multimodal
License
Proprietary
Benchmarks
1 tested
Data as of
About
Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing...
Tested on 1 benchmarks. Top scores: Chatbot Arena Elo — Overall (1335.0%).
Benchmark Scores
Compare AllTested on 1 benchmarks · Ranked across 1 categories
Score Distribution (all 312 models)
0255075100
arenaCompare arena →
Chatbot Arena Elo — Overall
1335·Chatbot Arena overall Elo rating. Crowdsourced human preference ranking from blind head-to-head comparisons across all topics.
Quick compare:
vs Qwen3 Coder Next FP8
vs Qwen2.5 Coder 32B Instruct AWQ
P
vs Speaker Diarization Community 1 Excellent (85+) Good (70-85) Average (50-70) Below (<50)
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BenchGecko API
nova-2-lite-v1
Specifications
- Typemultimodal
- Context1.0M tokens (~500 books)
- ReleasedDec 2025
- LicenseProprietary
- StatusActive
- Cost / Message~$0.003
Available On
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Frequently Asked Questions
Nova 2 Lite is a proprietary multimodal AI model by Amazon, released in December 2025. Context window: 1M tokens.
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba QwenBenchmarks
Chatbot Arena Elo — OverallKey facts · as of 2026-10-05
- Nova 2 Lite by Amazon. Not enough public benchmark scores to rank yet.
- List price $0.30 input · $2.50 output per 1M tokens (as of 2026-10-05).
- Sold by 2 providers (as of 2026-10-05): Amazon Bedrock $0.30 in / $2.50 out · Amazon Bedrock $0.30 in / $2.50 out. Every provider
How to cite · data as of 2026-10-05
Nova 2 Lite · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/nova-2-lite-v1
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP