Nova Premier 1.0
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.
Context window
This model accepts 1M tokens in one request (~750K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- FitsSmall codebaseAbout 150K words of text
- FitsFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 1,000,000 tokens (1M)
- Max output tokens
- 10,000 tokens (10K)
- Speed tier
- balanced
- Provider
- Amazon
- Release date
- Oct 2025
- Input cost
- $2.50/M / 1M tokens
- Output cost
- $12.50/M / 1M tokens
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Vision
- Accepts image inputs alongside text
- Supported
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Not supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare Nova Premier 1.0
Open a side-by-side comparison with one click.
- Nova Premier 1.0 vs Amazon Titan Text Express
Nova Premier 1.0 has 2280% larger context window
- Nova Premier 1.0 vs Amazon Titan Text Lite
Nova Premier 1.0 has 2280% larger context window
- Nova Premier 1.0 vs Amazon Titan Text Premier
Nova Premier 1.0 has 2280% larger context window
- Nova Premier 1.0 vs Apac Amazon Nova 2 Lite
Same context window size
- Nova Premier 1.0 vs Apac Amazon Nova 2 Pro Preview 20251202
Same context window size
- Nova Premier 1.0 vs Amazon Nova Lite
Nova Premier 1.0 has 233% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
More from Amazon
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