Jamba Large 1.7 | AI21 Hybrid SSM-Transformer API

Name: Jamba Large 1.7 API
Brand: ai21
Price: 2 USD
Availability: InStock

ai21/jamba-large-1.7

Tanggal rilis: 2025-08-09

256,000 context · $2.00/M input tokens · $8.00/M output tokens

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...

Harga

Bayar sesuai pemakaian

Tanpa biaya di muka, bayar hanya sesuai penggunaan

Input$2.00 / M Tokens

Output$8.00 / M Tokens

Coba model

ai21/jamba-large-1.7

Online

Hai! Saya asisten AI yang siap membantu. Ada yang bisa saya bantu?

Siap memakai model ini di coding agent lokal?Setup agent

Penggunaan API

Gunakan contoh kode berikut untuk integrasi dengan API kami:

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["WAVESPEED_API_KEY"],
    base_url="https://llm.wavespeed.ai/v1",
    timeout=120.0,
    max_retries=2,
)

try:
    response = client.chat.completions.create(
        model="ai21/jamba-large-1.7",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(response.choices[0].message.content or "")
except Exception as exc:
    raise SystemExit(f"LLM request failed: {exc}") from exc

Pengenalan Model

Ai21 jamba-large-1.7

ai21 jamba-large-1.7

Why It Looks Great

Large Language Model architecture for efficient processing
256000 context window for long document handling
Competitive pricing at $2.2/$8.8 per million tokens

Key Features

Context Window: 256000 tokens
Max Output: 4096 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Ai21
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	256000 tokens
Max Output	4096 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$2.2
Output	$8.8

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: ai21/jamba-large-1.7

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="ai21/jamba-large-1.7",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "ai21/jamba-large-1.7",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: ai21/jamba-large-1.7
Provider: Ai21

Info

Penyediaai21

Tipellm

Fitur yang Didukung

Input

Teks

Output

Teks

Konteks256,000

Output Maks4,096

Vision-

Function Calling✓ Didukung

Panduan Akses API

Base URLhttps://llm.wavespeed.ai/v1

API Endpointchat/completions

Model IDai21/jamba-large-1.7

Pertanyaan Umum tentang Jamba Large 1.7

Berapa biaya Jamba Large 1.7 melalui API?+

Harga di WaveSpeedAI: $2.00 per juta token input dan $8.00 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.

Berapa context window Jamba Large 1.7?+

Jamba Large 1.7 mendukung hingga 256K token konteks dengan hingga 4K token output per permintaan.

Apakah Jamba Large 1.7 kompatibel dengan OpenAI?+

WaveSpeedAI menyediakan Jamba Large 1.7 di https://llm.wavespeed.ai/v1 melalui antarmuka Chat Completions yang kompatibel dengan OpenAI. Sebagian besar klien OpenAI SDK cukup mengganti base URL dan API key; field opsional bergantung pada model.

Bagaimana memulai dengan Jamba Large 1.7?+

Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id yang ditampilkan di atas. Lihat katalog model terbaru untuk ketersediaan, kemampuan, dan harga.