Qwen3 Coder Next
ActiveQwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...
Overview
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...
History
Qwen3 Coder Next became available via the Alibaba API on 2026-02-04.
Training & availability
Alibaba has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 262K tokens.
-
Input modalities: text.
Recommended for: long-context, cheap.
Limitations
- Text-only — cannot process images, audio, or video inputs.
Pricing
- Input: $0.1500 per 1M tokens
- Output: $0.8000 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
Quick start
Minimal example using the OpenRouter API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="sk-or-...",
)
resp = client.chat.completions.create(
model="alibaba/qwen3-coder-next",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
Popularity
Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.
Integrations & tooling support
- Tool calling
- Not supported
- Structured outputs
- Not supported
Price vs quality
Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $0.637/1M
- Pricing breakdown
- $0.15/1M in
$0.8/1M out
Community ratings
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Comments
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