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Amazon•Open weights•October 29, 2025

Nova 2.0 Lite

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
12

score

Nova 2.0 Lite (Non-reasoning) scores 12 (estimated) on the Artificial Analysis Intelligence Index, …

vs class avg: 11

Speed
147.5

output tokens/sec

Nova 2.0 Lite (Non-reasoning) generates output at 147.5 tokens per second (based on Amazon's API), …

Latency
1.29s

TTFT

Nova 2.0 Lite (Non-reasoning) has a time to first token (TTFT) of 1. …

Input Price#52/83
$0.30

/ 1M tokens

Nova 2.0 Lite (Non-reasoning) costs $0.30 per 1M input tokens (somewhat higher than average, …

Output Price#80/83
$2.50

/ 1M tokens

Nova 2.0 Lite (Non-reasoning) costs $0.30 per 1M input tokens (somewhat higher than average, …

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

Capable everyday model

Good for routine tasks; route complex reasoning and premium workloads to stronger models.

Best for

  • Routine Q&A
  • Content summarization
  • Classification
  • Light coding
  • Low-latency chat
  • Interactive turn-taking

Weak or unsuitable

  • Complex reasoning
  • Agentic workflows
  • Research-grade analysis
  • Predictable high-volume throughput

Routing recommendation

1

Cheaper routes for predictable extraction, labeling, or summarization

2

Cache-backed reuse for repeated prompts

Cost pressure

Moderate pricing — $0.30 / M input, $2.50 / M output. Costs are manageable, but volume should still be reviewed.

Model-fit matrix

Use this model where capability pays for itself; route away where volume, latency, or budget dominate.

Use caseFitReasonRouting note
Complex reasoning & agentic workflowsModerateIntelligence score 12 handles routine reasoning but may struggle with open-ended agentic tasks.Route simpler sub-tasks here; keep hard reasoning on a stronger model.
High-volume chat & customer-facingExcellentOutput speed 147.5 tokens/sec and capable intelligence make this suitable for real-time chat at scale.Ideal for interactive chat; enable caching for repeated queries.
Latency-sensitive applicationsStrongTTFT 1.29s — adequate latency for most interactive use cases.Suitable for real-time; test with your specific workload.
Cost-sensitive pipelinesModerateOutput pricing at $2.50 is premium. Route high-volume simple tasks to cheaper alternatives.Use only for high-value tasks; route simple queries to budget models.

Cost pressure

Medium

Pricing is moderate — input $0.30, output $2.50. Costs accumulate at volume but are manageable for valuable tasks.

Cheaper substitutes

  • Cheaper routes for predictable extraction, labeling, or summarization

Route away when

  • Predictable high-volume throughput
  • Non-critical classification and extraction

Highlights

Key benchmark results at a glance.

Intelligence

Intelligence position

Open section

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Nova 2.0 Lite (Non-reasoning) scores 12 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 11).

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)gpt-oss-120b (high): 2424AIgpt-oss-120b (high)Nova 2.0 Lite: 1212?Nova 2.0 Lite

Speed

Speed position

Open section

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Nova 2.0 Lite (Non-reasoning) generates output at 147.5 tokens per second (based on Amazon's API), which is above average compared to other non-reasoning models in a similar price tier (median: 95.5 t/s).

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-4.1 nano: 188188AIGPT-4.1 nanoLing 2.6 Flash: 177177?Ling 2.6 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Nova 2.0 Lite: 148148?Nova 2.0 LiteMistral Small 3.2: 147147MiMistral Small 3.2Llama 4 Maverick: 118118MLlama 4 MaverickLlama 4 Scout: 109109MLlama 4 Scout

Context, Cost & Pricing

Price/value position

Open section

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Pricing is moderate — input $0.30, output $2.50. Costs accumulate at volume but are manageable for valuable tasks.

$0.00$1.00$2.00$3.00$4.00$5.00DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)MiniMax-M3: $0.12$0.12?MiniMax-M3Grok 4.3 (high): $0.14$0.14xGrok 4.3 (high)Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraKimi K2.6: $0.35$0.35KKimi K2.6GLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…

Intelligence & Quality

Benchmark scores and quality indices measuring model capability.

AA-Omniscience Index

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

-200204060Claude Fable 5 (with fallback): 4040AClaude Fable 5 (with fal…Gemini 3.5 Flash: 2323GGemini 3.5 FlashGPT-5.5 (xhigh): 2020AIGPT-5.5 (xhigh)Grok 4.3 (high): 1818xGrok 4.3 (high)Kimi K2.6: 6.46.4KKimi K2.6Muse Spark: 4.14.1?Muse SparkGLM-5.2 (max): 44?GLM-5.2 (max)MiniMax-M3: 1.41.4?MiniMax-M3Nemotron 3 Ultra: -0.8-0.8NNemotron 3 UltraDeepSeek V4 Pro (max): -10-10DDeepSeek V4 Pro (max)

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)

Intelligence

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)Nova 2.0 Lite: 1212?Nova 2.0 Lite

Speed & Throughput

Output tokens per second and generation throughput.

Output Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-4.1 nano: 188188AIGPT-4.1 nanoLing 2.6 Flash: 177177?Ling 2.6 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Nova 2.0 Lite: 148148?Nova 2.0 LiteMistral Small 3.2: 147147MiMistral Small 3.2

Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGrok 4.3 (high): 164164xGrok 4.3 (high)Nova 2.0 Lite: 148148?Nova 2.0 LiteMiniMax-M3: 9999?MiniMax-M3GPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Kimi K2.6: 7676KKimi K2.6DeepSeek V4 Pro (max): 7272DDeepSeek V4 Pro (max)

Latency & Response Time

Time to first token and end-to-end response latency.

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s2.5s5s7.5s10sMistral Large 3: 9.4s9.4sMiMistral Large 3Ministral 3 14B: 6.4s6.4s?Ministral 3 14BLlama 3.3 70B: 5.8s5.8sMLlama 3.3 70BGPT-4.1 mini: 5.8s5.8sAIGPT-4.1 miniQwen3 Coder Next: 5.6s5.6sQQwen3 Coder NextMistral Medium 3.1: 5.6s5.6sMiMistral Medium 3.1Ministral 3 8B: 5.4s5.4s?Ministral 3 8BMiniMax-M3: 5s5s?MiniMax-M3Llama 4 Scout: 4.6s4.6sMLlama 4 ScoutLlama 4 Maverick: 4.2s4.2sMLlama 4 MaverickNova 2.0 Lite: 3.4s3.4s?Nova 2.0 Lite

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s15s30s45s60sMiniMax-M3: 20s20s?MiniMax-M3GLM-5.2 (max): 9.2s9.2s?GLM-5.2 (max)Nemotron 3 Ultra: 9.1s9.1sNNemotron 3 Ultragpt-oss-120b (high): 6.4s6.4sAIgpt-oss-120b (high)GPT-4.1 nano: 0s0sAIGPT-4.1 nanoMistral Small 3.2: 0s0sMiMistral Small 3.2Mistral Small 3.1: 0s0sMiMistral Small 3.1Ministral 3 8B: 0s0s?Ministral 3 8BLlama 4 Scout: 0s0sMLlama 4 ScoutMinistral 3 14B: 0s0s?Ministral 3 14BNova 2.0 Lite: 0s0s?Nova 2.0 Lite

Context, Cost & Pricing

Context window size, cost per task, and token pricing.

Context Window

Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

02.5M5M7.5M10MLlama 4 Scout: 10M10MMLlama 4 ScoutNova 2.0 Lite: 1M1M?Nova 2.0 LiteGemini 3.5 Flash: 1M1MGGemini 3.5 FlashClaude Fable 5 (with fallback): 1M1MAClaude Fable 5 (with fal…GLM-5.2 (max): 1M1M?GLM-5.2 (max)DeepSeek V4 Pro (max): 1M1MDDeepSeek V4 Pro (max)Grok 4.3 (high): 1M1MxGrok 4.3 (high)MiniMax-M3: 1M1M?MiniMax-M3GPT-4.1 mini: 1M1MAIGPT-4.1 miniLlama 4 Maverick: 1M1MMLlama 4 Maverick

Cost per Intelligence Index Task

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

00.51GLM-5.2 (max): 00?GLM-5.2 (max)Kimi K2.6: 00KKimi K2.6Nemotron 3 Ultra: 00NNemotron 3 UltraQwen3 Coder Next: 00QQwen3 Coder NextMiniMax-M3: 00?MiniMax-M3Mistral Medium 3.1: 00MiMistral Medium 3.1Grok 4.3 (high): 00xGrok 4.3 (high)MiMo-V2-Flash: 00?MiMo-V2-FlashDeepSeek V4 Pro (max): 00DDeepSeek V4 Pro (max)GPT-4.1 mini: 00AIGPT-4.1 mini

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

$0.00$1.00$2.00$3.00$4.00$5.00Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…GPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Kimi K2.6: $0.35$0.35KKimi K2.6Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraGrok 4.3 (high): $0.14$0.14xGrok 4.3 (high)MiniMax-M3: $0.12$0.12?MiniMax-M3gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)

Cost to Run Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

010203040Qwen3 Coder Next: 3939QQwen3 Coder NextNemotron 3 Ultra: 3434NNemotron 3 UltraGLM-5.2 (max): 3333?GLM-5.2 (max)Kimi K2.6: 2525KKimi K2.6Mistral Medium 3.1: 1717MiMistral Medium 3.1MiniMax-M3: 1515?MiniMax-M3Grok 4.3 (high): 1313xGrok 4.3 (high)MiMo-V2-Flash: 1111?MiMo-V2-FlashMistral Large 3: 8.48.4MiMistral Large 3GPT-4.1 mini: 8.38.3AIGPT-4.1 mini

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MNemotron 3 Ultra: 3.63.6NNemotron 3 UltraNova 2.0 Lite: 2.82.8?Nova 2.0 LiteMistral Medium 3.1: 2.42.4MiMistral Medium 3.1GPT-4.1 mini: 2.12.1AIGPT-4.1 miniMistral Large 3: 22MiMistral Large 3Qwen3 Coder Next: 1.91.9QQwen3 Coder NextLlama 3.3 70B: 1.91.9MLlama 3.3 70BMiniMax-M3: 1.61.6?MiniMax-M3Llama 4 Maverick: 1.51.5MLlama 4 MaverickDeepSeek V4 Pro (max): 1.31.3DDeepSeek V4 Pro (max)cache Hitinputoutput

Time per Intelligence Index Task

Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

01234MiniMax-M3: 3.93.9?MiniMax-M3GPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)GLM-5.2 (max): 2.82.8?GLM-5.2 (max)Qwen3 Coder Next: 2.62.6QQwen3 Coder NextMinistral 3 8B: 2.52.5?Ministral 3 8BMinistral 3 14B: 2.22.2?Ministral 3 14BGemini 3.5 Flash: 2.22.2GGemini 3.5 Flashgpt-oss-120b (high): 1.91.9AIgpt-oss-120b (high)Grok 4.3 (high): 1.61.6xGrok 4.3 (high)Nemotron 3 Ultra: 1.41.4NNemotron 3 Ultra

Specifications

Technical Specifications

Nova 2.0 Lite (Non-reasoning) scores 12 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 11). Nova 2.0 Lite (Non-reasoning) generates output at 147.5 tokens per second (based on Amazon's API), which is above average compared to other non-reasoning models in a similar price tier (median: 95.5 t/s). Nova 2.0 Lite (Non-reasoning) costs $0.30 per 1M input tokens (somewhat higher than average, median: $0.20) and $2.50 per 1M output tokens (at the higher end, median: $0.70), based on Amazon's API.

Nova 2.0 Lite

Model type
Open weights
Reasoning
No
Input modalities
Nova 2.0 Lite (Non-reasoning) supports text and image input.
Output modalities
Nova 2.0 Lite (Non-reasoning) supports text output.
Context window
Nova 2.0 Lite (Non-reasoning) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Open weights / source
No, Nova 2.0 Lite (Non-reasoning) is proprietary. The model weights are not publicly available.
Parameters
Nova 2.0 Lite (Non-reasoning) is a proprietary model and Amazon has not disclosed the model size or parameter count.
API availability
Yes, Nova 2.0 Lite (Non-reasoning) is available via API through 1 provider.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Nova 2.0 Lite.

Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.

Frequently Asked Questions