LLM Reference
Vercel AI Gateway

Qwen3-Coder-30B-A3B-Instruct on Vercel AI Gateway

Qwen3-Coder · Alibaba

ServerlessOpen Source

Last refreshed 2026-06-29. Next refresh: weekly.

Why use Qwen3-Coder-30B-A3B-Instruct on Vercel AI Gateway?

Vercel AI Gateway offers Qwen3-Coder-30B-A3B-Instruct with pay-as-you-go pricing at $0.15/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.

Compare Qwen3-Coder-30B-A3B-Instruct across 3 providers to find the best fit for your use case
Input / 1M
$0.15
Output / 1M
$0.60
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export AI_GATEWAY_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
Model ID
alibaba/qwen3-coder-30b-a3b

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="alibaba/qwen3-coder-30b-a3b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "alibaba/qwen3-coder-30b-a3b", not the LLMReference slug "qwen3-coder-30b-a3b".
  • creator/model-name e.g. kwaipilot/kat-coder-pro-v2
  • The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.

Compare Qwen3-Coder-30B-A3B-Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
AWS Bedrock$0.15$0.62
Vercel AI Gateway$0.15$0.60
Novita AI$0.07$0.27

Pricing

TypePrice (per 1M)
Input tokens$0.15
Output tokens$0.60

Capabilities

Function CallingTool UseStructured OutputsCode Execution

About Qwen3-Coder-30B-A3B-Instruct

Qwen3-Coder-30B-A3B-Instruct is Alibaba's efficient open-source code generation model in the Qwen3-Coder family, released December 3, 2025 under the Apache 2.0 license. The model has 30.5 billion total parameters with 3.3 billion active per forward pass, organized across 48 transformer layers with 128 experts and 8 activated per token. It uses Grouped Query Attention (GQA) with 32 query heads and 4 key-value heads. Native context window is 262,144 tokens, extendable to 1 million tokens via YaRN. The model supports multi-turn tool calling, function calling, repository-level code understanding, and structured outputs. It is compatible with vLLM, SGLang, Ollama, LM Studio, llama.cpp, and HuggingFace Transformers. Available via AWS Bedrock, Novita AI, and Vercel AI Gateway.

FAQ

What does Qwen3-Coder-30B-A3B-Instruct cost on Vercel AI Gateway?

On Vercel AI Gateway, Qwen3-Coder-30B-A3B-Instruct costs $0.15 per 1M input tokens and $0.6 per 1M output tokens.

What is the context window for Qwen3-Coder-30B-A3B-Instruct on Vercel AI Gateway?

Qwen3-Coder-30B-A3B-Instruct supports a 262k token context window on Vercel AI Gateway.

How does Vercel AI Gateway compare to other Qwen3-Coder-30B-A3B-Instruct providers?

Qwen3-Coder-30B-A3B-Instruct is available from 3 providers. The cheapest input pricing is $0.07/1M tokens from Novita AI.

What API model ID do I use for Qwen3-Coder-30B-A3B-Instruct on Vercel AI Gateway?

Use the model ID alibaba/qwen3-coder-30b-a3b when calling Vercel AI Gateway's API.

Who created Qwen3-Coder-30B-A3B-Instruct?

Qwen3-Coder-30B-A3B-Instruct was created by Alibaba as part of the Qwen3-Coder model family.

Is Qwen3-Coder-30B-A3B-Instruct open source?

Qwen3-Coder-30B-A3B-Instruct is open source under Apache 2.0 according to the seed data.

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Model Specs

Released2025-12-03
Parameters30.5B total, 3.3B active
Context262k
ArchitectureMixture of Experts