Nova 2 Lite

Overview

Nova 2 Lite is a reasoning model from Amazon, released on 2025-12-02. It accepts text, images, video, and files, and generates text. Its listed capabilities include vision, reasoning, and tools. That combination makes its profile relevant to applications that need to work across text and visual inputs while producing text-based responses.

The model has a 1,000,000-token context window and a maximum output of 65,535 tokens. Those limits are useful considerations when deciding whether it can accommodate long inputs or return lengthy responses in a single generation. The model ID is amazon/nova-2-lite-v1.

Nova 2 Lite belongs in evaluations of Amazon models, as well as the categories for vision language models, reasoning models, longest-context models, and models with tool calling.

Key features

Text, image, video, and file inputs

Nova 2 Lite accepts four input types: text, image, video, and file. Its output is text, so teams evaluating it for multimodal workflows should account for that input-output shape: varied input formats, with text as the generated result. The supplied feature details do not specify how each input type is handled or what file formats are supported.

Reasoning and tools

Reasoning is listed as supported, and tools are listed as available. These capabilities may matter for workloads that require more than straightforward text generation, but the available details do not describe particular reasoning modes, tool integrations, or usage limits.

Large context and output limits

A context window of 1,000,000 tokens gives the model a substantial stated input capacity. Its maximum output is 65,535 tokens. These are separate limits: the context window describes the overall input context, while the output figure sets the maximum generation size.

Pricing

Nova 2 Lite is listed at USD 0.3 per 1M tokens for input and USD 2.5 per 1M tokens for output. Input and generated tokens have different rates, so estimates should account for both sides of a workload. The listed input rate also places it among models relevant to the cheapest language models category; actual costs depend on token volume and the balance between input and output.

Platforms

The provided information identifies Amazon as the maker and lab, and gives the model ID amazon/nova-2-lite-v1. It does not specify SDKs, deployment options, regional availability, or platform integrations, so teams should confirm those details against their own infrastructure requirements before choosing it.

Who it's for

Nova 2 Lite is worth considering for teams evaluating a text-generating model that accepts text, image, video, and file inputs, with reasoning and tool support listed. Its million-token context window may suit workflows with large input contexts, while the 65,535-token output ceiling is relevant where responses can be lengthy. The separate input and output prices make token mix an important part of cost planning.

It is a less complete fit for teams whose decision depends on details not supplied here, such as specific tool integrations, file-format support, deployment controls, or model behavior on a particular task. Those requirements need to be checked before committing it to a stack.

Pros and cons

Pros

• Accepts text, images, video, and files, with text output.
• Reasoning and tools are listed as supported.
• Provides a 1,000,000-token context window and a maximum output of 65,535 tokens.
• Input and output token rates are specified separately.

Cons

• The available details do not describe specific tool integrations or reasoning controls.
• Supported file formats and input-specific behavior are not specified.
• Deployment options and platform integrations are not listed.

Alternatives

Within Amazon's Nova family, Nova Premier 1.0, Nova Lite 1.0, Nova Micro 1.0, and Nova Pro 1.0 are alternatives to compare. The supplied details do not provide their specifications or prices, so a direct feature or cost comparison is not possible here.

Verdict

Nova 2 Lite has a clear capability profile: text generation from text, image, video, and file inputs; listed reasoning and tool support; a 1,000,000-token context window; and a maximum output of 65,535 tokens. Its listed prices are USD 0.3 per 1M tokens for input and USD 2.5 per 1M tokens for output. For stack decisions, the main open questions are the practical details behind its tools and input handling, plus deployment and integration fit. The stated limits and rates give teams a concrete basis for initial evaluation, but workload-specific suitability depends on those remaining requirements.