Amazon Nova Lite
Very low cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Fast multimodal processing for image, video, and text
Amazon Nova Lite is a multimodal foundation model developed by Amazon and made available through Amazon Bedrock. It accepts image, video, and text inputs and is designed to process them at low latency and low cost. The model was released in December 2024 as part of the Amazon Nova family, which includes three understanding models — Nova Micro, Nova Lite, and Nova Pro — and two creative content generation models.
Nova Lite occupies the middle tier of the Nova understanding lineup, sitting between the text-only Nova Micro and the more capable Nova Pro. It supports a 300,000-token context window, making it suitable for tasks that involve long documents or extended conversations. The model also supports fine-tuning on Amazon Bedrock, allowing developers to adapt it for specific use cases. It is well-suited for applications that require multimodal input processing at scale where cost efficiency and speed are priorities.
What Amazon Nova Lite supports
Multimodal Input
Processes image, video, and text inputs within a single request. Enables tasks like visual question answering and document analysis combining text and images.
Large Context Window
Supports up to 300,000 tokens of context per request. This allows processing of long documents, extended conversations, or multiple media inputs in one call.
Low-Latency Responses
Optimized for fast inference across multimodal inputs. Designed to return responses quickly even when handling image and video alongside text.
Video Understanding
Accepts video as a direct input type for analysis and comprehension tasks. Enables use cases such as video summarization and content extraction.
Fine-Tuning Support
Supports text and vision fine-tuning via Amazon Bedrock. Developers can customize the model to improve accuracy or reduce cost for specific tasks.
Agentic Task Execution
Designed to support agentic workflows and UI actuation. Can be used in multi-step task pipelines that require reasoning and action sequencing.
Cost-Efficient Inference
Priced at the lower end of the Nova model family for multimodal tasks. Intended for high-volume applications where per-token cost is a key constraint.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 59.0% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 43.3% |
| MATH-500 | Undergraduate and competition-level math problems | 76.5% |
| AIME 2024 | American math olympiad problems | 10.7% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 16.7% |
| HLE | Questions that challenge frontier models across many domains | 4.6% |
| SciCode | Scientific research coding and numerical methods | 13.9% |
Common questions about Amazon Nova Lite
What is the context window size for Amazon Nova Lite?
Amazon Nova Lite supports a context window of 300,000 tokens, allowing it to handle long documents, extended conversations, or multiple media inputs within a single request.
What input types does Amazon Nova Lite support?
Amazon Nova Lite is a multimodal model that accepts image, video, and text inputs. It is distinct from Nova Micro, which is text-only.
When was Amazon Nova Lite released?
Amazon Nova Lite was released in December 2024 as part of the Amazon Nova model family on Amazon Bedrock.
Can Amazon Nova Lite be fine-tuned?
Yes. Amazon Nova Lite supports text and vision fine-tuning through Amazon Bedrock, allowing developers to customize the model for specific use cases.
How does Amazon Nova Lite fit within the Nova model family?
Nova Lite is one of three understanding models in the Nova family. Nova Micro is text-only with the lowest latency, Nova Lite adds multimodal support at low cost, and Nova Pro offers the highest capability across accuracy, speed, and cost for complex tasks.
Parameters & options
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