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Qwen3 Coder 480B A35B Instruct

AlibabaQwen开源权重Apache 2.0 · 商用许可

描述

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.

发布日期
2025-07-22
参数规模
480.0B
上下文长度
262K
支持模态
text

能力雷达图

34
general
53
coding
52
reasoning
41
science
60
agents
0
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜116
36.0
LS
代码能力榜238
49.0
AA
通用能力榜292
45.0
AA
科学能力332
42.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BFCL-v368.7%自报
MM-Mind2Web55.8%自报
Terminal-Bench 2.0Stanford × Laude Institute (2026)37.5%自报

Code

SWE-Bench Verified69.6%自报
Aider-Polyglot61.8%自报
SWE-bench Multilingual54.7%自报
Multi-SWE-Bench25.8%自报

Communication

TAU-bench Retail77.5%自报
TAU-bench Airline60.0%自报

Language

Spider31.1%自报

AA 评测指数

(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 分类评分

(LLM Stats (zeroeval))
Structured Output
70
Finance
70
Communication
70
Multimodal
60
Reasoning
60
Frontend Development
60
General
60
Tool Calling
60
Agents
50
Code
50

定价

输入价格$1.5 / 1M tokens
输出价格$7.5 / 1M tokens
混合价格(3:1)$3 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

4 个供应商

最便宜: LLM Gateway最贵: Alibaba
供应商输入输出
1LLM Gateway最便宜
$0.3
$1.3
2302.AI
$0.86
$3.43
3Alibaba (China)
$0.861
$3.441
4Alibaba主要
$1.5
$7.5

比较该模型在不同 API 供应商之间的定价。

外部链接

LLM StatsArtificial Analysis