Nous Capybara 7b V1p9
Context window
This model accepts 33K tokens in one request (~25K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- Won't fitLong documentAbout 37K words of text
- Won't fitSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 32,768 tokens (33K)
- Max output tokens
- 32,768 tokens (33K)
- Speed tier
- fast
- Provider
- Nous Research
- Input cost
- $0.200/M / 1M tokens
- Output cost
- $0.200/M / 1M tokens
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Streaming
- Returns tokens as they are generated
- Supported
- Vision
- Accepts image inputs alongside text
- Not supported
- Tool use
- Can call external tools and APIs
- Not supported
- Function calling
- Structured function call interface
- Not 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
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare Nous Capybara 7b V1p9
Open a side-by-side comparison with one click.
- Nous Capybara 7b V1p9 vs Amazon Titan Text Express
Amazon Titan Text Express has 28% larger context window
- Nous Capybara 7b V1p9 vs Amazon Titan Text Lite
Amazon Titan Text Lite has 28% larger context window
- Nous Capybara 7b V1p9 vs Amazon Titan Text Premier
Amazon Titan Text Premier has 28% larger context window
- Nous Capybara 7b V1p9 vs Claude Instant
Claude Instant has 205% larger context window
- Nous Capybara 7b V1p9 vs Anthropic Claude
Anthropic Claude has 205% larger context window
- Nous Capybara 7b V1p9 vs Codellama 34b Instruct
Nous Capybara 7b V1p9 has 700% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
More from Nous Research
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