Model Library/Qwen3 Coder Next
qwen/qwen3-coder-next

Qwen3 Coder Next

qwen/qwen3-coder-next
Qwen3-Coder-Next is an open-weight language model specifically engineered for coding agents and local development environments. This highly efficient model delivers exceptional performance with only 3B activated parameters out of 80B total parameters, achieving results comparable to models with 10-20x more active parameters while maintaining remarkable cost-effectiveness for agent deployment. Through its sophisticated training methodology, Qwen3-Coder-Next excels in advanced agentic capabilities including long-horizon reasoning, complex tool usage, and robust recovery from execution failures, ensuring reliable performance across dynamic coding tasks. The model's versatility is further enhanced by its 256k context length and adaptability to various scaffold templates, enabling seamless integration with diverse CLI/IDE platforms such as Claude Code, Qwen Code, Qoder, Kilo, Trae, and Cline, making it an ideal solution for comprehensive development environments.

Funktionen

Serverless API

Dokumentation

qwen/qwen3-coder-next 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.

Verfügbare Serverless

Abfragen sofort ausführen, nur für die Nutzung bezahlen

Eingabe$0.2 / M Tokens
Ausgabe$1.5 / M Tokens

Verwenden Sie die folgenden Codebeispiele, um unsere API zu integrieren:

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-next",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=65536,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)

Info

Anbieter
Qwen
Quantisierung
fp8

Unterstützte Funktionalität

Kontextlänge
262144
Maximale Ausgabe
65536
Serverless
Unterstützt
Function Calling
Unterstützt
Structured Output
Unterstützt
Anthropic API
Unterstützt
Eingabefähigkeiten
text
Ausgabefähigkeiten
text

Alles, was Sie brauchen, um produktionsreife AI zu entwickeln.

Über 200 Modelle, GPUs auf Abruf und sichere Agent-Runtimes — vereint unter einer API. Kostenlos zum Einstieg, skaliert mit Ihrem Wachstum.