Amazon Nova Pro
Amazon
- Released
- December 2024
- Data date
- September 8, 2026
- Price
- Input · Output / 1M tokens
- Input
- Text, Image, Video
- Output
- Text
Amazon Nova Pro provides more capacity within the first Nova line than Amazon Nova Lite. It accepts text, images, and video, returns text, and offers a 300K-token context in Bedrock.
AWS lists amazon.nova-pro-v1:0 as the active identifier. Despite visual and video inputs, output remains text-based. Nova Pro is a managed proprietary service without published local weights.
Specifications and access
| Specification | Value and source |
|---|---|
| Weights | ProprietarySource |
| Access | APISource |
| Context window | 300,000 tokensSource |
| Knowledge cutoff | October 2024Source |
| Release | 2024-12 (Month-only precision; source did not expose an exact day.)Source |
| API model ID | amazon.nova-pro-v1:0Source |
| Maximum output | 10,000 tokensSource |
| Input | Text, Image, VideoSource |
| Output | TextSource |
Page 1 of 4
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
MMLU (Show measurement, test conditions, and source)
- Source value
- 85.9
- Score
- 85.9
- Metric
- percent
- Unit
- %
- Category
- knowledge
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; 0-shot CoT
ARC-C (Show measurement, test conditions, and source)
- Source value
- 94.8
- Score
- 94.8
- Metric
- percent
- Unit
- %
- Category
- reasoning
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; 0-shot
DROP (Show measurement, test conditions, and source)
- Source value
- 85.4
- Score
- 85.4
- Metric
- percent
- Unit
- %
- Category
- reasoning
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; 6-shot CoT
GPQA (Show measurement, test conditions, and source)
- Source value
- 46.9
- Score
- 46.9
- Metric
- percent
- Unit
- %
- Category
- reasoning
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; 0-shot CoT; GPQA main set
MATH (Show measurement, test conditions, and source)
- Source value
- 76.6
- Score
- 76.6
- Metric
- percent
- Unit
- %
- Category
- reasoning
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; 0-shot CoT; MATH5k
GSM8K (Show measurement, test conditions, and source)
- Source value
- 94.8
- Score
- 94.8
- Metric
- percent
- Unit
- %
- Category
- reasoning
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; 0-shot CoT; test set
IFEval (Show measurement, test conditions, and source)
- Source value
- 92.1
- Score
- 92.1
- Metric
- percent
- Unit
- %
- Category
- instruction-following
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; 0-shot; instruction-level loose accuracy
BBH (Show measurement, test conditions, and source)
- Source value
- 86.9
- Score
- 86.9
- Metric
- percent
- Unit
- %
- Category
- reasoning
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; 3-shot CoT; macro average exact match
MMMU (Show measurement, test conditions, and source)
- Source value
- 61.7
- Score
- 61.7
- Metric
- percent
- Unit
- %
- Category
- multimodal
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; Table 3; 0-shot unless benchmark guidance applies
- Context
- Amazon report 95% CI half-width: ±3.2.
ChartQA (Show measurement, test conditions, and source)
- Source value
- 89.2
- Score
- 89.2
- Metric
- percent
- Unit
- %
- Category
- multimodal
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; Table 3; 0-shot unless benchmark guidance applies
- Context
- Amazon report 95% CI half-width: ±1.2.
DocVQA (Show measurement, test conditions, and source)
- Source value
- 93.5
- Score
- 93.5
- Metric
- percent
- Unit
- %
- Category
- multimodal
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; Table 3; 0-shot unless benchmark guidance applies
TextVQA (Show measurement, test conditions, and source)
- Source value
- 81.5
- Score
- 81.5
- Metric
- percent
- Unit
- %
- Category
- multimodal
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Amazon Nova technical report and model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Nova Pro; Table 3; 0-shot unless benchmark guidance applies
Page 1 of 4
Popularity
33.2 / 100
Sources and data date
| Type | Evidence and data date |
|---|---|
| Price | Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs. |
| Input | Documented modalities. Retrieved September 8, 2026. |
| Output | Documented modalities. Retrieved September 8, 2026. |
| Research status | Research date September 8, 2026. 5 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not found in the inspected sources | parameters-billions Original wording No exact value located in the checked primary model card/API documentation. |
| Not found in the inspected sources | active-parameters-billions Original wording No exact value located in the checked primary model card/API documentation. |
| Not found in the inspected sources | knowledge-cutoff Original wording No exact value located in the checked primary model card/API documentation. |
| Not found in the inspected sources | profile-benchmarks-additional Original wording The report contains additional figure-only runtime metrics (TTFT and total response time); only exact text-table rows were transcribed. |
| Additional source | Model metadata |
| Additional source | Context window data · Amazon Nova models · Editorial description reviewed October 2, 2026 |
| Additional source | Knowledge cutoff data · Amazon Bedrock model card for Amazon Nova Pro · Editorial description reviewed October 2, 2026 |
| Additional source | Amazon Nova technical report and model card (retrieved September 8, 2026) |
| Additional source | Artificial Analysis (retrieved September 8, 2026) |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |