amazon
Amazon: Nova Premier 1.0
amazon/nova-premier-v1
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog presents amazon/nova-premier-v1 as Amazon's multimodal Nova Premier model for text and image inputs, text output, a listed context window of one million tokens, and a tools parameter. The catalog description positions it for complex reasoning and as a teacher for distilling custom models; these are source-reported capabilities, not verified results in this pack. An independent model card was not available, so workload validation is recommended.[1]
Strengths
Limitations
- Evidence is catalog-only; an independent model card was not available in this source pack.[1]
- The source does not provide enough measured performance context to establish real-world effectiveness, so intended workloads should be tested.[1]
- Knowledge cutoff and dedicated reasoning metadata are unspecified in the supplied record.[1]
Where to use it
- Evaluate for assistants that combine image and text inputs and produce text responses.[1]
- Evaluate for summarization, search, or analysis over very large text and image collections.[1]
- Evaluate as a teacher for custom-model distillation or for complex-reasoning workflows; the source suggests these uses rather than demonstrating results.[1]
Sources
- [1] OpenRouter catalog · Amazon: Nova Premier 1.0Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
Specifications
- Model ID
- amazon/nova-premier-v1
- Creator
- amazon
- Added to OpenRouter
- 31.10.2025
- Context length
- 1,000,000
- Modality
- text+image->text
- Input modalities
- text, image
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $2.5 / out $12.5
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | parameters: tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Design Arena | models · websitewin rate 26.2% · rank 148 | 828Elo | CC — below the B band | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Amazon Bedrock | 1,000,000 | $2.5 | $12.5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.