Amazon model product
Nova Lite
A low-cost multimodal model that is lightning fast for processing images, video, documents, and text.
Updated Aug 12, 2026. Default version: Nova Lite
LLMBoard score13.2Nova Lite
Coverage100%24 benchmark families
Context window300KTokens
Official input price$0.06Amazon Bedrock API
Nova Lite Specifications
Technical details for the model's default version.
- Version
- Nova Lite
- Released
- Nov 20, 2024
- Knowledge cutoff
- Unknown
- Parameters
- N/A
- Context window
- 300K
- Max output
- 2K
- Inputs
- image, text
- Outputs
- text
- Open weights
- No
- License
- Proprietary
Nova Lite Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Nova Lite Benchmark Results
Benchmark scores for Nova Lite.
| VATEX | 0.8 | 1 | 2 | 100.0% | C | |
| CRAG | 0.4 | 2 | 3 | 50.0% | C | |
| FinQA | 0.7 | 2 | 3 | 50.0% | C | |
| GroundUI-1K | 0.8 | 2 | 2 | 0.0% | C | |
| MM-Mind2Web | 0.6 | 2 | 3 | 50.0% | C | |
| Translation en→Set1 COMET22 | 0.9 | 2 | 3 | 50.0% | C | |
| Translation en→Set1 spBleu | 0.4 | 2 | 3 | 50.0% | C | |
| Translation Set1→en COMET22 | 0.9 | 2 | 3 | 50.0% | C | |
| Translation Set1→en spBleu | 0.4 | 2 | 3 | 50.0% | C | |
| VisualWebBench | 0.8 | 2 | 2 | 0.0% | C | |
| SQuALITY | 0.2 | 4 | 5 | 25.0% | C | |
| BBH | 0.8 | 6 | 12 | 54.5% | C | |
| EgoSchema | 0.7 | 6 | 9 | 37.5% | C | |
| ARC-C | 0.9 | 8 | 34 | 78.8% | C | |
| TextVQA | 0.8 | 8 | 15 | 50.0% | C | |
| BFCL | 0.7 | 9 | 11 | 20.0% | C | |
| ChartQA | 0.9 | 10 | 24 | 60.9% | C | |
| DROP | 0.8 | 12 | 30 | 62.1% | C | |
| GSM8k | 0.9 | 15 | 48 | 70.2% | C | |
| DocVQA | 0.9 | 16 | 26 | 40.0% | C | |
| IFEval | 0.9 | 19 | 65 | 71.9% | C | |
| LVBench | 0.4 | 24 | 24 | 0.0% | C | |
| MATH | 0.7 | 31 | 71 | 57.1% | C | |
| HumanEval | 0.9 | 35 | 66 | 47.7% | C | |
| MMMU | 0.6 | 50 | 63 | 21.0% | C | |
| MMLU | 0.8 | 59 | 100 | 41.4% | C | |
| GPQA | 0.4 | 200 | 234 | 14.6% | C |
Nova Lite Arena Results
Preference and agent-evaluation results for the default version.
| vision | overall | 130 | 990.6 | 1,854 | N/A | |
| vision style control | overall | 131 | 1019.3 | 1,854 | N/A | |
| text | overall | 273 | 1228.6 | 19,372 | N/A | |
| text style control | overall | 288 | 1260.4 | 19,372 | N/A |
Nova Lite Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- $0.06 input, $0.24 output per 1M
- Official provider
- Amazon Bedrock
- Lowest third-party
- From $0.06 input, $0.24 output per 1M via Vercel AI Gateway
- Tracked offerings
- 2
| Amazon Bedrock | amazon.nova-lite-v1:0 | global | $0.06 | $0.24 | 300K | |
| Vercel AI Gateway | amazon/nova-lite | global | $0.06 | $0.24 | 300K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Nova Lite Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
| Nova Lite | 13.2 | N/A | 300K | 2K | No | Proprietary |
What is Nova Lite?
Key information about Nova Lite and its available data.
A low-cost multimodal model that is lightning fast for processing images, video, documents, and text.
Data as of 2026-08-11.
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FAQ
Common questions about Nova Lite.
When was Nova Lite released?
Nova Lite's default version was released on Nov 20, 2024.
How much does Nova Lite cost?
Nova Lite's official API price is $0.06 per million input tokens and $0.24 per million output tokens via Amazon Bedrock. The lowest tracked third-party offer starts at $0.06 input and $0.24 output via Vercel AI Gateway.
Who created Nova Lite?
Nova Lite was created by Amazon.
What is the context window for Nova Lite?
The default version has a 300K token context window.
Is Nova Lite open weight?
No. The default version is not marked as having publicly available weights.
How many API providers offer Nova Lite?
2 provider offerings are linked to the default version.
What models should I compare Nova Lite with?
Nearby ranked alternatives include GPT-4-Turbo, Llama 4 Scout, Phi 4 Mini Reasoning.