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qwen

Qwen: Qwen3 Coder Next

qwen/qwen3-coder-next

↓ runs free on your own hardware⚙ tool calling

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...

specs & pricing
Type
text
Provider
qwen
Model ID
qwen/qwen3-coder-next
Capabilities
tools
Context window
262K tokens
Self-hostable
Yes — runs on your own GPU
Input price
$0.13 / 1M tokens
Output price
$0.88 / 1M tokens

Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.

What it costs to run

cloud · 1M in + 1M out

$1.01

$0.13 for a million input tokens plus $0.88 for a million output tokens, billed from credits only when a request fails over to the cloud.

your hardware

$0 / token

Served from a workstation or on-prem server you own, there is no per-token fee — the marginal cost is power.

Run it on your own hardware

Estimated GPU memory for Qwen: Qwen3 Coder Next (80B parameters), including the KV cache for a 8,192-token context.

Q4_K_M
~46.8 GBfits a 48 GB card
Q8_0
~80.2 GBmulti-GPU or large unified memory
FP16 / BF16
~149.9 GBmulti-GPU or large unified memory

Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.

/// initialize

Call Qwen: Qwen3 Coder Next through one OpenAI-compatible endpoint.

Serve it from hardware you own, with cloud failover when your nodes are busy or offline.

no credit card · 2 nodes free · openai-compatible

Frequently asked questions

What is the context window of Qwen: Qwen3 Coder Next?
Qwen: Qwen3 Coder Next accepts up to 262,144 tokens (262K) of context per request.
How much does Qwen: Qwen3 Coder Next cost per million tokens?
Through Wide Area Intelligence, Qwen: Qwen3 Coder Next costs $0.13 per 1M input tokens and $0.88 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $1.01.
Can I run Qwen: Qwen3 Coder Next on my own hardware?
Yes — Qwen: Qwen3 Coder Next is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 46.8 GB of GPU memory with an 8,192-token context — it fits a single 48 GB card. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.

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