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 token, delivering performance comparable to models with 10 to 20x higher active compute, which makes it well suited for cost-sensitive, always-on agent deployment.
$0.06market price $0.12
$0.035market price $0.07
$0.40market price $0.80
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Not enough throughput data
Not enough TTFT data
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.
On NagaAI, Qwen3 Coder Next costs $0.06 per 1M input tokens and $0.40 per 1M output tokens. You pay only for what you use, with no subscription.
Qwen3 Coder Next reads up to 262.1k tokens in one request, counting the prompt and the answer together.
Yes. Qwen3 Coder Next can call your functions as tools and can answer in a JSON schema you give it.
It takes text as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
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