Amazon

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite can handle real-time customer interactions, document analysis, and visual question-answering tasks with high accuracy.

With an input context of 300K tokens, it can analyze multiple images or up to 30 minutes of video in a single input.

Amazon: Nova Lite 1.0

OpenRouter

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length of 128K tokens and optimized for speed and cost, Amazon Nova Micro excels at tasks such as text summarization, translation, content classification, interactive chat, and brainstorming. It has  simple mathematical reasoning and coding abilities.

Amazon: Nova Micro 1.0

Anthropic

Claude 3 Haiku is Anthropic's fastest and most compact model for
near-instant responsiveness. Quick and accurate targeted performance.

See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku)

#multimodal

Anthropic: Claude 3 Haiku

Meta

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction.

Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.

Meta: Llama 4 Maverick

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 documents, extracting information from videos, generating code, providing accurate grounded answers, and automating multi-step agentic workflows.

Amazon: Nova 2 Lite

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

Amazon: Nova Premier 1.0

Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December 2024, it achieves state-of-the-art performance on key benchmarks including visual question answering (TextVQA) and video understanding (VATEX).

Amazon Nova Pro demonstrates strong capabilities in processing both visual and textual information and at analyzing financial documents.

**NOTE**: Video input is not supported at this time.

Model	Latency
Amazon: Nova Micro 1.0	-44%
Anthropic: Claude 3 Haiku	-33%
Meta: Llama 4 Maverick	-25%

Model	Score	Latency	Cost/1M
Amazon: Nova Premier 1.0	56.4%	40.9s	$7.50
Amazon: Nova 2 Lite	52.4%	15.6s	$1.40
Amazon: Nova Pro 1.0	48.0%	14.8s	$2.00
Amazon: Nova Micro 1.0	44.1%	3.9s	$0.09

Amazon: Nova Lite 1.0

Alternatives

Same Quality, Cheaper

Same Quality, Faster

Same Cost, Better

Other Models from Amazon

Benchmark Performance

Price vs Performance

Score Over Time

Benchmark Activity

Quickstart