Qwen3-Coder-480B-A35B
The largest open agentic code model in the Qwen3-Coder family, a 480B MoE with 35B active across 160 experts, built for repository-scale coding workflows.
- Input
- $1.50 /1M tokens
- Output
- $7.50 /1M tokens
Cheapest: $0.38 / $1.55 per 1M tokens via Novita
Key Specifications
- Context window
- 262K tokens
- Max output
- 66K tokens
- Parameters
- 480B, 35B active
- Inputs
- Text
- Capabilities Show details
- Function calling Connect to external tools, APIs, and systems. Structured output Return responses in structured formats like JSON.
Hosted API pricing
| Provider | Input /1M tokens | Output /1M tokens | Cost at 10M in + 2M out | |
|---|---|---|---|---|
|
|
$0.38 | $1.55 | $6.90 | View |
|
|
$1.50 | $7.50 | $30.00 | View |
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
Qwen3-Coder-480B-A35B needs about 274 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX A6000 at about $3,168 a month.
That costs the same as roughly 1B tokens a month on Alibaba Cloud's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bitINT4 / FP4 |
274 GB
|
$3,168
|
1B tokens /mo
|
|
| 8-bitFP8 / INT8 |
490 GB
|
$10,138
|
4B tokens /mo
|
|
| 16-bitFP16 / BF16 |
970 GB
|
$22,723
|
9B tokens /mo
|
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Similarly priced models
The models nearest Qwen3-Coder-480B-A35B by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Qwen3-Coder-480B-A35B |
|---|---|---|---|---|---|---|
|
|
$0.5233 | $0.45 | $0.89 | 1M | −9% | |
|
|
$0.5417 | $0.25 | $2.00 | 400K | May 2024 | −6% |
|
|
$0.55 | $0.40 | $1.30 | 64K | −4% | |
|
|
$0.5667 | $0.20 | $2.40 | 262K | −1% | |
|
|
$0.575 | $0.23 | $2.30 | 262K | 0% | |
|
|
$0.575 | $0.38 | $1.55 | 262K | ||
|
|
$0.60 | $0.40 | $1.60 | 1M | Jun 2024 | +4% |
|
|
$0.6667 | $0.30 | $2.50 | 1M | Jan 2025 | +16% |
|
|
$0.6667 | $0.30 | $2.50 | 1M | Mar 2026 | +16% |
|
|
$0.6667 | $0.50 | $1.50 | 16K | Sep 2021 | +16% |
|
|
$0.6667 | $0.50 | $1.50 | 256K | +16% |
Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Frequently Asked Questions
What is Qwen3-Coder-480B-A35B good for?
Repository-scale agentic coding, browser use and tool calling, at the heavy end of the open Qwen3-Coder checkpoints. Apache 2.0 weights, on a multi-GPU node.
When is Qwen3-Coder-480B-A35B not a good fit?
Self-hosting on ordinary hardware: memory follows the full 480B parameters, not the 35B active. It is non-thinking only, takes no image or video input, and has no built-in web search, though a host or your own tool loop can add one.
What is the cheapest way to run Qwen3-Coder-480B-A35B?
Hosted, unless you push serious volume. Alibaba Cloud charges $1.50 in / $7.50 out per 1M tokens. The cheapest rental that fits is 8x RTX A6000 at $3,168 a month, which costs the same as about 1B tokens a month on that API.
Can I self-host Qwen3-Coder-480B-A35B?
Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 274 GB of GPU memory, which starts at roughly $3,168 a month on the cheapest rental that fits.
More from Alibaba Cloud
| Model | Context | Input /1M | Output /1M |
|---|---|---|---|
|
|
262K | $0.23 | $2.30 |
|
|
262K | $0.20 | $2.40 |
|
|
262K | $0.30 | $1.50 |
|
|
1M | $0.25 | $1.50 |
|
|
1M | $0.40 | $2.40 |
|
|
262K | $0.20 | $1.60 |
|
|
1M | $0.28 | $1.10 |
|
|
33K | $0.38 | $0.40 |