LLM ReferenceLLM Reference

Qwen3-Coder-480B-A35B-Instruct

qwen3-coder-480b-a35b-instruct

Researched 29d ago

Last refreshed 2026-05-11. Next refresh: weekly.

CodingRAGAgentsLong contextClassificationJSON / Tool use

Qwen3-Coder-480B-A35B-Instruct is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Decision context: Agents task fit, 4 tracked provider routes, and research from 2026-04-19.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 256K context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$1.20

Fireworks AI per 1M tokens

Provider routes

4

Tracked API hosts

Quality / dollar

Grade B

Ranked by benchmark score divided by cheapest output price

Freshness

2026-04-19

Researched 29d ago

fresh

Top use-case fit

Coding

Included by capability and metadata signals in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Q/$ B

1 relevant benchmark in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$1.20$1.20
Serverless
GCP Vertex AI$0.220$1.80
Serverless
AWS Bedrock--
ServerlessPartial
NVIDIA NIM--
ServerlessPartial

Benchmark peer barsfor Agents

Migration checks

No linked migration route is available for this model yet.

About

Qwen Qwen3 Coder 480B A35B Instruct available on AWS Bedrock

Qwen3-Coder-480B-A35B-Instruct has a 256K-token context window.

Qwen3-Coder-480B-A35B-Instruct input tokens at $0.22/1M, output at $1.8/1M.

Capabilities

Structured OutputsCode Execution

Benchmark Scores(1)

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.
BenchmarkScoreVersionSource
Berkeley Function Calling Leaderboard v368.7Berkeley Function Calling Leaderboard (BFCL v3)https://gorilla.cs.berkeley.edu/leaderboard.html

Rankings

Specifications

Released2025-01-01
Parameters480B
Context256K
ArchitectureDecoder Only
Specializationcode
Trainingpretrained
Fine-tuninginstruct

Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website