Qwen3 Coder 30b A3B Instruct
qwen/qwen3-coder-30b-a3b-instruct
Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the Qwen3 architecture, it supports a native context length of 256K tokens (extendable to 1M with Yarn) and performs strongly in tasks involving function calls, browser use, and structured code completion.
This model is optimized for instruction-following without “thinking mode”, and integrates well with OpenAI-compatible tool-use formats.
Fonctionnalités
API sans serveur
Documentation
qwen/qwen3-coder-30b-a3b-instruct is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.
Déploiements à la demande
Documentation
On-demand deployments allow you to use qwen/qwen3-coder-30b-a3b-instruct on dedicated GPUs with high-performance serving stack with high reliability and no rate limits.
Sans serveur disponible
Exécutez des requêtes immédiatement, ne payez que pour l’utilisation
Entrée$0.07 / M Tokens
Sortie$0.27 / M Tokens
Utilisez les exemples de code suivants pour intégrer notre API :
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="qwen/qwen3-coder-30b-a3b-instruct",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=32768,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Infos
Fournisseur
Qwen
Quantification
fp8
Fonctionnalités prises en charge
Longueur du contexte
160000
Sortie maximale
32768
Serverless
Pris en charge
Function Calling
Pris en charge
Structured Output
Pris en charge
Capacités d’entrée
text
Capacités de sortie
text