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...
- Modalities
- text → text
- In / out per 1M
- Free / Free
- Context
- 1.0M tokens
- Added
- Jul 23, 2025
- Max output
- 262K tokens
- Tokenizer
- Qwen3
- Knowledge cutoff
- Jun 30, 2025
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | Free | — | Free |
| Output | Free | — | Free |
Providers
No provider breakdown is published for Qwen3 Coder 480B A35B (free) in the current catalog snapshot (Jul 28, 2026). Browse all providers
Benchmarks
Design Arena
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| Code models | 1192 | 61.2% | #54 |
| Data viz models | 1126 | 54.9% | #74 |
| Game dev models | 1167 | 59% | #58 |
| UI components models | 1170 | 61.5% | #56 |
| Websites models | 1201 | 61.7% | #55 |
Head-to-head preference voting. How we filter and rank
Supported parameters
- frequency_penalty
- max_tokens
- presence_penalty
- stop
- temperature
- tool_choice
- tools
- top_k
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use
model qwen/qwen3-coder:free.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer ***" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3-coder:free",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="qwen/qwen3-coder:free",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "qwen/qwen3-coder:free",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);About Qwen3 Coder 480B A35B (free)
Qwen3 Coder 480B A35B is a Mixture-of-Experts model from Alibaba's Qwen team, built for agentic coding: function calling, tool use, and reasoning across very long inputs. Its context window holds 1,048,576 tokens, larger than 90% of catalog models, and it can return up to 262,000 completion tokens in one response. Across Design Arena's code-related categories it lands elo scores between 1126 and 1201 with win rates from 54.9% to 61.7%, putting it in the mid-50s to low-70s rank band depending on category. It's text-in, text-out only.
This is one of 25 free models on OpenKey, priced at $0 per 1M input and output tokens, versus siblings like Qwen2.5 Coder 32B Instruct at $0.66/$1.00 per 1M or Qwen2.5 72B Instruct at $0.36/$0.40 per 1M. Its 1,048,576-token context window dwarfs Qwen3 14B and every other listed sibling, and it beats the 90th percentile of the whole catalog on context length. It also supports tool calling and tool choice, which none of the pricing alone tells you.
Questions
- How much does Qwen3 Coder 480B A35B (free) cost via API?
- It's free: $0 per 1M input tokens and $0 per 1M output tokens from the provider, and OpenKey's flat 3% fee on $0 still comes out to $0. There's no cost calculation to do here — both prompt and completion pricing are zero.
- What is Qwen3 Coder 480B A35B's context window?
- It's 1,048,576 tokens, larger than 90% of models in OpenKey's catalog. That's enough to hold entire codebases or long document sets in a single request, and the model can generate up to 262,000 completion tokens back.
- Is Qwen3 Coder 480B A35B free to use?
- Yes — this is the free variant, with provider pricing of $0 per 1M tokens for both input and output. It's one of 25 free models currently listed on OpenKey.
- Does Qwen3 Coder 480B A35B support tool calling?
- Yes, it supports both `tools` and `tool_choice` parameters, along with `frequency_penalty`, `presence_penalty`, `temperature`, `top_k`, and `top_p`. It does not take image or audio input — it's text-to-text only.
- What is Qwen3 Coder 480B A35B's knowledge cutoff?
- Its knowledge cutoff is June 30, 2025, and it was released July 23, 2025. That makes it one of the more recently trained models in the Qwen lineup on OpenKey.
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