Jamba 1.5 Mini is the world's first production-grade Mamba-based model, combining SSM and Transformer architectures for a 256K context window and high efficiency.
It works with 9 languages and can handle various writing and analysis tasks as well as or better than similar small models.
This model uses less computer memory and works faster with longer texts than previous designs.
OpenRouter normalizes requests and responses across providers for you.
To get started, you can use Jamba 1.5 Mini via API like this:
fetch("https://openrouter.ai/api/v1/chat/completions",{ method:"POST", headers:{"Authorization":`Bearer ${OPENROUTER_API_KEY}`,"HTTP-Referer":`${YOUR_SITE_URL}`,// Optional, for including your app on openrouter.ai rankings."X-Title":`${YOUR_SITE_NAME}`,// Optional. Shows in rankings on openrouter.ai."Content-Type":"application/json"}, body:JSON.stringify({"model":"ai21/jamba-1-5-mini","messages":[{"role":"user","content":"What is the meaning of life?"}]})});
You can also use OpenRouter with OpenAI's client API:
import OpenAI from"openai"const openai =newOpenAI({ baseURL:"https://openrouter.ai/api/v1", apiKey: $OPENROUTER_API_KEY, defaultHeaders:{"HTTP-Referer": $YOUR_SITE_URL,// Optional, for including your app on openrouter.ai rankings."X-Title": $YOUR_SITE_NAME,// Optional. Shows in rankings on openrouter.ai.}})asyncfunctionmain(){const completion =await openai.chat.completions.create({ model:"ai21/jamba-1-5-mini", messages:[{"role":"user","content":"What is the meaning of life?"}]})console.log(completion.choices[0].message)}main()
See the Request docs for all possible parameters, and Parameters for recommended values.