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
코딩 랭킹	306	48.0	AA
종합 랭킹	324	41.0	AA
과학	432	33.0	AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Chat

TAU-bench Retail

77.5%자체 보고

General

BFCL-v3

68.7%자체 보고

Aider-Polyglot

61.8%자체 보고

Language

Spider

31.1%자체 보고

Multimodal

MM-Mind2Web

55.8%자체 보고

Reasoning

SWE-Bench Verified

69.6%자체 보고

TAU-bench Airline

60.0%자체 보고

SWE-bench Multilingual

54.7%자체 보고

Terminal-Bench 2.0Stanford × Laude Institute (2026)

37.5%자체 보고

Multi-SWE-Bench

25.8%자체 보고

AA 평가 지수

(Artificial Analysis)

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

94.2

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

78.8

Gpqa(NYU + Cohere + Anthropic (2023))

61.8

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

58.5

Aime(MAA (Mathematical Association of America))

47.7

Lcr(Artificial Analysis)

45.7

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

43.6

Ifbench(Google Research (2023))

40.5

Aime 25(MAA (Mathematical Association of America))

39.3

Math Index(Artificial Analysis)

39.3

Terminalbench Hard(Stanford × Laude Institute (2026))

18.9

Intelligence Index(Artificial Analysis)

11.9

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

4.5

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))

Chat

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

5개 공급자

최저가: DeepInfra최고가: Alibaba

공급자입력출력

1DeepInfra최저가

2DevPass (LLM Gateway)

$0.38

$1.55

3302.AI

$0.86

$3.43

4Alibaba (China)

$0.861

$3.441

5Alibaba주요

$1.5

$7.5

이 모델의 다양한 API 공급자 간 가격 비교.

외부 링크

LLM Stats Artificial Analysis