Qwen3 Coder 480B A35B Instruct

AlibabaQwen오픈 웨이트Apache 2.0 · 상업적 사용 가능

설명

Qwen3-Coder-480B-A35B-Instruct is Qwen's most agentic code model to date, featuring 480 billion total parameters with 35 billion activated parameters using MoE architecture. It achieves significant performance among open models on Agentic Coding, Agentic Browser-Use, and foundational coding tasks, with results comparable to Claude Sonnet. Features native 256K token context length (extendable to 1M tokens with Yarn), optimized for repository-scale understanding, and specialized function call format for agentic coding platforms like Qwen Code and CLINE.

출시일

2025-07-22

파라미터

480.0B

컨텍스트 길이

262K

모달리티

text

능력 레이더

general

coding

reasoning

science

agents

multimodal

랭킹

도메인	#순위	점수	소스
에이전트형 역량	116	36.0	LS
코딩 랭킹	238	49.0	AA
종합 랭킹	292	45.0	AA
과학	332	42.0	AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BFCL-v3

68.7%자체 보고

MM-Mind2Web

55.8%자체 보고

Terminal-Bench 2.0Stanford × Laude Institute (2026)

37.5%자체 보고

Code

SWE-Bench Verified

69.6%자체 보고

Aider-Polyglot

61.8%자체 보고

SWE-bench Multilingual

54.7%자체 보고

Multi-SWE-Bench

25.8%자체 보고

Communication

TAU-bench Retail

77.5%자체 보고

TAU-bench Airline

60.0%자체 보고

Language

Spider

31.1%자체 보고

AA 평가 지수

(Artificial Analysis)

Math Index(Artificial Analysis)

39.3

Intelligence Index(Artificial Analysis)

18.2

Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))

0.9

Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))

0.8

Gpqa(NYU + Cohere + Anthropic (2023))

0.6

Livecodebench(UC Berkeley + MIT + Cornell (2024))

0.6

Aime(MAA (Mathematical Association of America))

0.5

Lcr(Artificial Analysis)

0.5

Tau2(Sierra + U Toronto + Vector Institute (2025))

0.4

Ifbench(Google Research (2023))

0.4

Aime 25(MAA (Mathematical Association of America))

0.4

Scicode(UIUC + Argonne National Lab (2024))

0.4

Terminalbench Hard(Stanford × Laude Institute (2026))

0.2

Hle(Center for AI Safety + Scale AI (2025))

0.0

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))

Structured Output

Finance

Communication

Multimodal

Reasoning

Frontend Development

General

Tool Calling

Agents

Code

가격

입력 가격$1.5 / 1M 토큰

출력 가격$7.5 / 1M 토큰

혼합 가격 (3:1)$3 / 1M 토큰

속도

토큰/초0.0

첫 토큰 지연0.00s

첫 응답 지연0.00s

공급자 가격 순위

4개 공급자

최저가: LLM Gateway최고가: Alibaba

공급자입력출력

1LLM Gateway최저가

$0.3

$1.3

2302.AI

$0.86

$3.43

3Alibaba (China)

$0.861

$3.441

4Alibaba주요

$1.5

$7.5

이 모델의 다양한 API 공급자 간 가격 비교.

외부 링크

LLM Stats Artificial Analysis