Analysis Summary
Amazon's Nova 2.0 Lite (Non-reasoning) has a low general intelligence measure and weaker instruction-following and long-context results than the reasoning settings in the same family. Its math and coding-task results are limited, though the tau2 result suggests some usefulness on structured tool-related tasks. The supplied data does not establish a strong coding or agentic profile.
This variant may be suitable for simple, low-risk requests where cost is the main constraint and outputs are easy to check. It is not a good default for long-form content, complex client questions, or multi-step automation. The listed input price is low, with a higher output price, so the economics should be tested against task completion and correction rates. Use it only for narrow, repeatable workloads after evaluating quality on real prompts; route demanding work to a more capable model.
Assessed September 23, 2026
Editorial notes
Nova 2.0 Lite (Non-reasoning) has low input pricing and some task-level capability, but weak instruction following and long-context results limit its reliability for client-facing work.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Nova 2.0 Lite (Non-reasoning) has low input pricing and some task-level capability, but weak instruction following and long-context results limit its reliability for client-facing work.
Benchmarks
Artificial Analysis data refreshed Nov 7, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis has not published coding or agentic results for Nova 2.0 Lite (Non-reasoning) yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Nova 2.0 Lite (Non-reasoning) compares
Nova 2.0 Lite (Non-reasoning) ranks #266 of 447 AI models we track for overall intelligence. At $0.30 per million input tokens it is cheaper than 43% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.30 | $0.000300 |
| Output | $2.50 | $0.002500 |
What would Nova 2.0 Lite (Non-reasoning) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Nova 2.0 Lite (Non-reasoning) for the hard ones. Most clients cut their estimate by 60-80%.
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Frequently asked questions about Nova 2.0 Lite (Non-reasoning)
How much does Nova 2.0 Lite (Non-reasoning) cost?
Nova 2.0 Lite (Non-reasoning) costs $0.30 per million input tokens and $2.50 per million output tokens.
Who created Nova 2.0 Lite (Non-reasoning)?
Nova 2.0 Lite (Non-reasoning) is developed by Amazon and was released on October 29, 2025.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: November 7, 2026 7:38 pm