Qwen: Qwen3 Coder 480B A35B Instruct Fp8
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Qwen3 Coder 480B A35B Instruct is a code-specialized Mixture-of-Experts model from Alibaba's Qwen team, with 480B total parameters and 35B active per token. It is purpose-built for agentic coding, where the model plans, calls tools, and works across multi-step developer workflows.
It natively handles a 256K-token context, making it well suited to large files, sprawling repositories, and long-context code understanding. The model supports function calling and tool use out of the box.
On SWE-bench Verified it scores 69.6%, state-of-the-art among open models and comparable to Claude Sonnet 4 on agentic coding, browser-use, and tool-use tasks.
Choose it for autonomous coding agents, refactoring, debugging, and repository-scale tasks where strong agentic performance and a long context matter.
Context Window 262K
tokens
Max Output 262K
tokens
Input Cost $2
per million tokens
Output Cost $2
per million tokens
Input text
modalities
Tool Use Yes
Knowledge Cutoff Jul 2025
Release Date Jul 22, 2025
Code Example
Add AI to your app with the Puter.js AI API, no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Qwen3.6 Flash is the speed-optimized tier of Alibaba's Qwen3.6 model family, designed for high-throughput, low-latency inference pipelines. It sits alongside Qwen3.6 Max Preview, Plus, and 35B-A3B in the product lineup, targeting use cases where fast response times matter more than peak benchmark scores. Like other Qwen3.6 models, it builds on a hybrid architecture combining linear attention with sparse mixture-of-experts routing. It is best suited for high-volume production workloads such as classification, extraction, summarization, and lightweight agent tasks where latency and cost efficiency are the primary constraints.
ChatQwen3.5 Plus 2026-04-20
Qwen3.5 Plus is a proprietary hosted model from Alibaba, built on the Qwen3.5-397B-A17B Mixture-of-Experts architecture with 397 billion total parameters and 17 billion active per token. Its headline feature is a 1-million-token native context window — among the largest available via API — making it well suited for processing entire codebases, long documents, or extended multi-turn conversations in a single request. It supports both a deep-thinking mode and an "Auto" mode that adaptively invokes tools like web search and code interpreters. This April 20, 2026 snapshot reflects ongoing improvements to the model since its original February 2026 launch. The Qwen3.5 series demonstrated strong multimodal performance across reasoning, coding, and vision tasks. A solid general-purpose option for developers needing large-context capabilities without migrating to the newer Qwen3.6 line.
ChatQwen3.6 27B
Qwen3.6 27B is a dense 27-billion-parameter multimodal model from Alibaba's Qwen team, purpose-built for agentic coding and repository-level reasoning. It scores 77.2% on SWE-bench Verified and 59.3% on Terminal-Bench 2.0, outperforming the previous-generation Qwen3.5-397B-A17B across all major coding benchmarks despite being far smaller. It natively supports text, image, and video inputs with a 262K-token context window, extendable to 1M tokens. A standout feature is Thinking Preservation, which retains reasoning traces across conversation turns — reducing redundant computation in multi-step agent loops. The model uses a hybrid attention architecture combining Gated DeltaNet with traditional self-attention. Ideal for developers building coding agents, multi-turn tool-use workflows, or frontend generation pipelines.
Frequently Asked Questions
Qwen3 Coder 480B A35B Instruct Fp8 is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $2 |
| Output | $2 |
Qwen3 Coder 480B A35B Instruct Fp8 was created by Qwen and released on Jul 22, 2025.
Qwen3 Coder 480B A35B Instruct Fp8 supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Qwen3 Coder 480B A35B Instruct Fp8 can generate up to 262K tokens in a single response.
Qwen3 Coder 480B A35B Instruct Fp8 has a knowledge cutoff date of Jul 2025. This means the model was trained on data available up to that date.
Qwen3 Coder 480B A35B Instruct Fp8 accepts the following input types: text. It produces: text.
Yes, Qwen3 Coder 480B A35B Instruct Fp8 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Qwen3 Coder 480B A35B Instruct Fp8 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
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