Qwen3-Coder-480B-A35B-Instruct

Released
2025-07-22
Last refreshed
2026-10-07
Status
Researched 128d ago
Open sourceCommercial use: permittedCodingRAGAgentsLong contextClassificationJSON / Tool use
Alibaba releases · 53 in the last 12 months · this family litChangelog →
Specifications
Released
2025-07-22
Context
256K
Parameters
480B total, 35B active
Architecture
Mixture of Experts
Specialization
code
Openness
Open source
License
Apache 2.0OSI-approvedPermitted
Weights
Available
Code
Unknown
Training
Pretrained
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$1.00
Input / 1M
$0.300

Cheapest of 7 routes · OpenRouter · cache read $0.100

About

Qwen3-Coder-480B-A35B-Instruct is Alibaba's flagship open-source code generation and agentic model, released July 22, 2025 under the Apache 2.0 license. The model has 480 billion total parameters with 35 billion active parameters per token, organized across 62 transformer layers with 160 specialized expert networks and 8 experts activated per token. It uses Grouped Query Attention (GQA) with 96 query heads and 8 key-value heads and supports a native context window of 262,144 tokens, extendable to 1 million tokens via YaRN position scaling.

Overview

Qwen3-Coder-480B-A35B-Instruct is Alibaba's flagship open-source code generation and agentic model, released July 22, 2025 under the Apache 2.0 license. The model has 480 billion total parameters with 35 billion active parameters per token, organized across 62 transformer layers with 160 specialized expert networks and 8 experts activated per token. It uses Grouped Query Attention (GQA) and supports a native context window of 256,000 tokens, extendable to 1 million tokens via YaRN position scaling.

The model is purpose-built for software engineering tasks and agentic workflows: code generation, code review, test writing, multi-step debugging, and browser-based agentic task execution. On release, it achieved state-of-the-art results among open models on Agentic Coding, Agentic Browser-Use, and Agentic Tool-Use benchmarks, with performance comparable to Claude Sonnet 4 on these tasks. The instruction-tuned variant supports function calling and structured output natively.

Qwen3-Coder-480B-A35B-Instruct is available via Fireworks AI, Google Vertex AI, NVIDIA NIM, AWS Bedrock, Novita AI, and the Vercel AI Gateway. It is the largest model in the Qwen3 Coder family and represents the top open-source coding capability from Alibaba as of mid-2025. The 256K native context window accommodates large codebases, multi-file sessions, and long agentic task traces within a single context.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ C

Agents

Q/$ B

Providers(7)

Compare all 7

Compare API pricing across 7 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
OpenRouter$0.300$1.00read $0.100
Serverless
Novita AI$0.380$1.55-
Serverless
GCP Vertex AI$0.220$1.80-
Serverless
Vercel AI Gateway$1.50$7.50read $0.300
Serverless
AWS Bedrock---
ServerlessPartial
Scheduled retirement: March 30, 2027
Fireworks AI---
ProvisionedPartial
NVIDIA NIM---
ServerlessPartial

Available via routers & gateways(15)

Capabilities

JSON / Tool useStructured OutputsCode Execution

Benchmark peer barsfor Coding

Benchmark scores(3)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
68.7Berkeley Function Calling Leaderboard (BFCL v3)Observed 2026-04-12—
38.7Scale AI standardized SWE-bench ProObserved 2026-06-23—
66.5Nebius/OpenHands independent SWE-bench VerifiedObserved 2026-06-23—

Migration checks

No linked migration route is available for this model yet.