·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Startup Battlefield 200 applications officially close in 3 days1h◆Google will pay SpaceX $920M per month for compute3h◆The most interesting startups right now want to get you off your phone4h◆This is your laptop… on AI5h◆New York lawmakers pass one-year ban on new data centers6h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs7h◆The latest AI news we announced in May 20267h◆The ‘together tech’ wave might be the most intriguing startup bet of 20267h◆This AI startup says it can tell if a script will make a hit film8h◆AirTrunk commits $30B to build 5GW of AI data centers in India8h◆The Meta hack shows there’s more to AI security than Mythos12h◆Mira Murati steps back into the spotlight, carefully16h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning17h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning17h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models17h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents17h◆Why Muon Outperforms Adam: A Curvature Perspective17h◆Vision Hopfield Memory Networks17h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies17h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment17h◆Startup Battlefield 200 applications officially close in 3 days1h◆Google will pay SpaceX $920M per month for compute3h◆The most interesting startups right now want to get you off your phone4h◆This is your laptop… on AI5h◆New York lawmakers pass one-year ban on new data centers6h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs7h◆The latest AI news we announced in May 20267h◆The ‘together tech’ wave might be the most intriguing startup bet of 20267h◆This AI startup says it can tell if a script will make a hit film8h◆AirTrunk commits $30B to build 5GW of AI data centers in India8h◆The Meta hack shows there’s more to AI security than Mythos12h◆Mira Murati steps back into the spotlight, carefully16h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning17h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning17h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models17h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents17h◆Why Muon Outperforms Adam: A Curvature Perspective17h◆Vision Hopfield Memory Networks17h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies17h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment17h◆
DataBubble·

Model Detail

amazon logo

Amazon: Nova Lite 1.0

—
Provider: AmazonCategory: multimodal
DB Score
20.1
Downloads
0
Likes
0
Day
+0.0%
Week
+0.0%
Month
+0.0%
Overview

Amazon: Nova Lite 1.0 is a multimodal model released by Amazon. And supports text+image->text inputs.

Pricing & Throughput

Amazon: Nova Lite 1.0 is priced at $0.06/M input tokens and $0.24/M output tokens. Operationally the model offers a 300K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.

Technical

The published knowledge cutoff is 2024-10-31, so newer events will not be reflected in zero-shot answers without retrieval.

Use Cases

Amazon: Nova Lite 1.0 is best fit for mixed text-and-image reasoning tasks such as document understanding, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (300K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Pricing
Input ($/M tokens)
$0.06
Output ($/M tokens)
$0.24
Context Window
300K
Model Info
Modalitytext+image->text
Knowledge Cutoff2024-10-31
Recent newsView all news →
Related News
arxiv2d ago

Semantic knowledge guides innovation and drives cultural evolution

arXiv:2510.12837v4 Announce Type: replace-cross Abstract: Cultural evolution allows ideas and technologies to accumulate across generations, reaching their most complex and open-ended form in humans. While social learning enables the transmission of such innovations, the cognitive processes that gen

arxivneutral7d ago

NOVA: Fundamental Limits of Knowledge Discovery Through AI

arXiv:2605.15219v2 Announce Type: replace Abstract: Can AI systems discover genuinely new knowledge through iterative self improvement, and if so, at what cost? We introduce the NOVA framework, which models the common ``generate, verify, accumulate, retrain'' loop as an adaptive sampling process ove

arxiv8d ago

Are We Truly Innovating? A Qualitative and Quantitative Study of Originality in AI Research Papers

arXiv:2602.06054v3 Announce Type: replace Abstract: Assessing originality in AI research is arguably the most consequential yet least reliable step in peer review. Reviewer judgments of originality remain opaque, inconsistent, and dependent on comparisons to prior work that are often incomplete. In

arxiv9d ago

Innovation: An Almost Characterization of Hallucination

arXiv:2605.26808v1 Announce Type: cross Abstract: Hallucination is a central limitation of large language models (LLMs), and substantial effort has been devoted to understanding and mitigating it. Towards this, Kalai and Vempala (STOC 2024) introduced a probabilistic framework formalizing calibratio

arxiv9d ago

Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques

arXiv:2501.00520v2 Announce Type: replace-cross Abstract: This paper presents a comprehensive study on the classification and detection of Silicosis-related lung inflammation. Our main contributions include 1) the creation of a newly curated chest X-ray (CXR) image dataset named SVBCX that is tailor

arxiv10d ago

The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot

arXiv:2409.08379v4 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are reshaping knowledge work, yet their impact on voluntary, self-guided open innovation forums (contributors choose tasks without managerial direction) may differ fundamentally from effects observed in organizati

Related Models
amazon logo
Amazon: Nova 2 Lite
Amazon · 0 downloads
amazon logo
Amazon: Nova Premier 1.0
Amazon · 0 downloads
Qwen logo
Qwen3-VL-2B-Instruct
Qwen · 155.7M downloads
google logo
gemma-4-31B-it
Google · 10.3M downloads
HomeModelsNews