Qwen3 Coder 480B A35B
qwen3-coderQwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over... Built by Qwen.
Prices updated
Input price
$0.30
per 1M tokens · Standard
Output price
$1.00
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
66K
tokens
Input formats
Output formats
Qwen3 Coder 480B A35B price history
2 price records since 9/25/2026
Qwen3 Coder 480B A35B cost calculator
$11/month
Standard pricing
Overview
What is Qwen3 Coder 480B A35B?
Qwen3 Coder 480B A35B is a text & reasoning and code & slms model from Qwen. Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over... Its 262K context window and $0.30 input price make it a candidate for cost-sensitive, high-throughput applications.
Rates
Qwen3 Coder 480B A35B pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.30
Per 1M tokens
Cached input · Standard
$0.10
Per 1M tokens
Capabilities
Qwen3 Coder 480B A35B Tools
Tools available when using Qwen3 Coder 480B A35B through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Where to run it
Qwen3 Coder 480B A35B API providers
5 providers serve Qwen3 Coder 480B A35B. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| $0.22 | $1.80 | — | 262K | 99.83% | |
| DeepInfrafp4 | $0.30 | $1.00 | $0.10 | 262K | 97.65% |
| Venicefp8 | $0.35 | $1.50 | $0.04 | 256K | 96.46% |
| Novitafp8 | $0.38 | $1.55 | — | 262K | 66.12% |
| Alibaba | $0.97 | $4.88 | — | 262K | 99.98% |
- Input
- $0.22
- Output
- $1.80
- Cached
- —
- Context
- 262K
- Uptime
- 99.83%
- Input
- $0.30
- Output
- $1.00
- Cached
- $0.10
- Context
- 262K
- Uptime
- 97.65%
- Input
- $0.35
- Output
- $1.50
- Cached
- $0.04
- Context
- 256K
- Uptime
- 96.46%
- Input
- $0.38
- Output
- $1.55
- Cached
- —
- Context
- 262K
- Uptime
- 66.12%
- Input
- $0.97
- Output
- $4.88
- Cached
- —
- Context
- 262K
- Uptime
- 99.98%
Strengths and limitations
Strengths
- Low input cost at $0.30 per million tokens suits high-volume workloads.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and code & slms workloads in one model.
Limitations
- Generated tokens cost 3× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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