Intelligence
20 scoreAmazon · Flagships Analysis
Nova 2.0 Pro Preview (low)
Intelligence, Performance & Price Analysis
Canonical slug: nova-2-0-pro-reasoning-low · Canonical model registry at build time
Speed
135.3 output tokens/secLatency
13.08s TTFTInput Price
$1.25 / 1M tokensOutput Price
$10.00 / 1M tokensVerbosity
12M Output tokens from Intelligence Index 1 out of 4 units for Verbosity . CompaExecutive Assessment
Routing Verdict & Tradeoffs
Strong general-purpose model
Nova 2.0 Pro Preview (low) scores 20 on the Artificial Analysis Intelligence Index, placing it below average among other reasoning models in a similar price tier (median: 28). Nova 2.0 Pro Preview (low) generates output at 135.3 tokens per second (based on Amazon's API), which is above average compared to other reasoning models in a similar price tier (median: 81.2 t/s). Nova 2.0 Pro Preview (low) costs $1.25 per 1M input tokens (better than average, median: $1.50) and $10.00 per 1M output tokens (somewhat higher than average, median: $8.40), based on Amazon's API.
Suitable for most production tasks, but high-volume or repetitive work should still be compared against cheaper routes.
Task Fit Assessment
| Workload | Rating | Notes |
|---|---|---|
| Complex reasoning & agentic workflows | optimal | Intelligence score 20 supports capable reasoning, but very hard tasks may benefit from higher-tier models. |
| High-volume chat & customer-facing | optimal | Output speed 135.3 tokens/sec and capable intelligence make this suitable for real-time chat at scale. |
| Latency-sensitive applications | viable | TTFT 13.08s — latency may be noticeable in interactive use. |
| Cost-sensitive pipelines | viable | Output pricing at $10.00 is premium. Route high-volume simple tasks to cheaper alternatives. |
Cost Pressure Analysis
High
Pricing is premium — input $1.25, output $10.00. This model is expensive for high-volume or output-heavy workloads.
Technical Specifications
Architecture and Limits
| Specification | Value | Validation Authority |
|---|---|---|
| Model type | Proprietary | inferred |
| Reasoning | Yes | faq |
| Input modalities | Nova 2.0 Pro Preview (low) supports text and image input. | faq |
| Output modalities | Nova 2.0 Pro Preview (low) supports text output. | faq |
| Context window | 260k tokens | faq |
| Open weights / source | No, Nova 2.0 Pro Preview (low) is proprietary. The model weights are not publicly available. | faq |
| Parameters | Nova 2.0 Pro Preview (low) is a proprietary model and Amazon has not disclosed the model size or parameter count. | faq |
| API availability | Yes, Nova 2.0 Pro Preview (low) is available via API through 1 provider. | faq |
Evidence charts
Profile visualizations
Charts are the same canonical evidence cards previously published for this slug, contained inside the D18D page grammar.
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
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
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
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
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
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Output Speed
Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Speed
Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
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
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
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
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Context Window
Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
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
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Cost per Task
Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
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
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Pricing: Cache Hit, Input, and Output
Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
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
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Output Tokens per Intelligence Index Task
Weighted average number of output tokens used to run one task in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Methodology
Methodology & Provenance
This page is rendered from the normalized profile and page JSON for Nova 2.0 Pro Preview (low).
Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.
Frequently Asked Questions
Model FAQs & Technical Disclosures
Nova 2.0 Pro Preview (low) was released on November 27, 2025.
Nova 2.0 Pro Preview (low) was created by Amazon.
Nova 2.0 Pro Preview (low) scores 20 on the Artificial Analysis Intelligence Index, placing it below average among other reasoning models in a similar price tier (median: 28).
Nova 2.0 Pro Preview (low) generates output at 135.3 tokens per second (based on Amazon's API), which is above average compared to other reasoning models in a similar price tier (median: 81.2 t/s).
Nova 2.0 Pro Preview (low) has a time to first token (TTFT) of 13.08s (based on Amazon's API), which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 2.78s).
Nova 2.0 Pro Preview (low) costs $1.25 per 1M input tokens (better than average, median: $1.50) and $10.00 per 1M output tokens (somewhat higher than average, median: $8.40), based on Amazon's API.
Nova 2.0 Pro Preview (low) costs $1.25 per 1M input tokens and $10.00 per 1M output tokens (based on Amazon's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $2.13 per 1M tokens. Pricing may vary by provider.
When evaluated on the Intelligence Index, Nova 2.0 Pro Preview (low) generated 12M output tokens, which is very competitive compared to other reasoning models in a similar price tier (median: 72M).
Yes, Nova 2.0 Pro Preview (low) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Nova 2.0 Pro Preview (low) supports text and image input.
Nova 2.0 Pro Preview (low) supports text output.
Yes, Nova 2.0 Pro Preview (low) supports image input and can analyze, describe, and answer questions about images.
Yes, Nova 2.0 Pro Preview (low) is multimodal. It can process text and image input and generate text output.
Nova 2.0 Pro Preview (low) has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
No, Nova 2.0 Pro Preview (low) is proprietary. The model weights are not publicly available.
Nova 2.0 Pro Preview (low) is a proprietary model and Amazon has not disclosed the model size or parameter count.
Nova 2.0 Pro Preview (low) achieves a score of 20 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Nova 2.0 Pro Preview (low) is available via API through 1 provider.
Nova 2.0 Pro Preview (low) is available through 1 API provider.