Amazon: Nova 2 Lite
Amazon • LLM
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...
Specifications
Context Window
1.0M tokens
Input Price/1M
$0.30
Output Price/1M
$2.50
Parameters
—
Max Output
66K tokens
Benchmarks
Amazon: Nova 2 Lite results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LMArena Elo | 1337.0 | 2000.0 | Crowdsourced blind pairwise comparisons |
Information
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: Amazon: Nova 2 Lite
What is Amazon: Nova 2 Lite?
Amazon: Nova 2 Lite is an AI model developed by Amazon, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Amazon's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Amazon: Nova 2 Lite is usage-based, priced at $0.3/1M input tokens and $2.5/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Amazon: Nova 2 Lite was evaluated on 1 different benchmarks, covering categories like overall. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Amazon: Nova 2 Lite is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, high-volume chatbots and automated support, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Amazon: Nova 2 Lite competes directly with similarly capable models. Amazon competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Amazon: Nova 2 Lite?
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...
How much does Amazon: Nova 2 Lite cost?
Amazon: Nova 2 Lite costs $0.3/1M input tokens and $2.5/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Amazon: Nova 2 Lite compare with other models?
In available benchmarks, Amazon: Nova 2 Lite scored: LMArena Elo: 1337/2000. See the full table above for a detailed comparison.
Is Amazon: Nova 2 Lite open source?
No, Amazon: Nova 2 Lite is a proprietary model from Amazon. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Amazon: Nova 2 Lite best for?
Amazon: Nova 2 Lite excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: May 15, 2026 • View methodology →