GLM 5.2의 비용은 얼마입니까?

GLM 5.2의 비용은 US$0.006/M 입력 토큰 및 US$6.80/백만 출력 토큰, Cache Read: US$0.005/M tokens에는 별도 요금 적용입니다.

GLM 5.2의 컨텍스트 길이는 얼마입니까?

GLM 5.2의 컨텍스트 윈도우는 1,048,576토큰입니다. 최대 1,048,576개의 완성 토큰을 지원합니다.

GLM 5.2 모델은 도구 호출과 구조화된 출력을 지원합니까?

예. GLM 5.2은 함수 호출을 위한 tools를 지원합니다. 또한 response_format의 JSON 스키마를 통해 구조화된 출력을 지원합니다.

GLM 5.2을 제공하는 제공업체는 어디입니까?

OpenRouter에서 24개의 제공업체가 GLM 5.2을 제공하며, 해당 제공업체는 Wafer, Relace, Morph, Cloudflare, DeepInfra, Ambient, StreamLake, CoreWeave 외 16개입니다. 요청은 사용 가능한 최적의 제공업체로 라우팅되고 장애 발생 시 다른 제공업체로 자동 전환되며, 제공업체 라우팅을 통해 제공업체를 고정하거나 제외할 수 있습니다.

GLM 5.2은(는) 언제 출시되었습니까?

GLM 5.2은 2026년 6월 16일에 출시되었습니다.

GLM 5.2 - API 요금 및 벤치마크

Name: Z.ai: GLM 5.2
Author: Z.ai

벤치마크 점수 요약: Z.ai: GLM 5.2 (Artificial Analysis, Design Arena 및 Vals AI)
출처	벤치마크	점수
Artificial Analysis	GLM-5.2 (Max) Coding Index	68.8
Artificial Analysis	GLM-5.2 (Max) Agentic Index	38.4
Artificial Analysis	GLM-5.2 (Max) GPQA Diamond	89.5%
Artificial Analysis	GLM-5.2 (Max) HLE	41.1%
Artificial Analysis	GLM-5.2 (Max) IFBench	73.3%
Artificial Analysis	GLM-5.2 (Max) τ²-Bench Telecom	99.1%
Artificial Analysis	GLM-5.2 (Max) AA-LCR	78.3%
Artificial Analysis	GLM-5.2 (Max) τ-Bench Banking	34.6%
Artificial Analysis	GLM-5.2 (Max) GDPval-AA	44.1%
Artificial Analysis	GLM-5.2 (Max) CritPt	20.9%
Artificial Analysis	GLM-5.2 (Max) SciCode	51.2%
Artificial Analysis	GLM-5.2 (Max) Terminal-Bench Hard	50.8%
Artificial Analysis	GLM-5.2 (Max) Terminal-Bench 4.0	1.0%
Artificial Analysis	GLM-5.2 (Max) Terminal-Bench 2.1	77.9%
Artificial Analysis	GLM-5.2 (Non-reasoning) Coding Index	46.5
Artificial Analysis	GLM-5.2 (Non-reasoning) GPQA Diamond	68.6%
Artificial Analysis	GLM-5.2 (Non-reasoning) HLE	9.8%
Artificial Analysis	GLM-5.2 (Non-reasoning) AA-LCR	42.3%
Artificial Analysis	GLM-5.2 (Non-reasoning) τ-Bench Banking	16.7%
Artificial Analysis	GLM-5.2 (Non-reasoning) GDPval-AA	37.6%
Artificial Analysis	GLM-5.2 (Non-reasoning) CritPt	3.1%
Artificial Analysis	GLM-5.2 (Non-reasoning) Terminal-Bench 2.1	51.7%
Design Arena	GLM 5.2 Agents Arena Agenticgamedev Elo	1155
Design Arena	GLM 5.2 Agents Arena Androidnative Elo	1177
Design Arena	GLM 5.2 Agents Arena Blender3d Elo	983
Design Arena	GLM 5.2 Agents Arena Full Stack Elo	1241
Design Arena	GLM 5.2 Agents Arena Godotgamedev Elo	1142
Design Arena	GLM 5.2 Agents Arena Htmlslides Elo	1071
Design Arena	GLM 5.2 Agents Arena Mobile Apps Elo	1160
Design Arena	GLM 5.2 Agents Arena Pdf Elo	1213
Design Arena	GLM 5.2 Agents Arena Python-Pptxslides Elo	1148
Design Arena	GLM 5.2 Agents Arena Webapps Elo	1207
Design Arena	GLM 5.2 Models Arena 3D Elo	1284
Design Arena	GLM 5.2 Models Arena Asciiart Elo	1188
Design Arena	GLM 5.2 Models Arena Code Categories Elo	1285
Design Arena	GLM 5.2 Models Arena Data Visualization Elo	1286
Design Arena	GLM 5.2 Models Arena Game Development Elo	1266
Design Arena	GLM 5.2 Models Arena SVG Elo	1207
Design Arena	GLM 5.2 Models Arena UI Component Elo	1290
Design Arena	GLM 5.2 Models Arena Website Elo	1283
Vals AI	GLM 5.2 Code Migration	37.9%
Vals AI	GLM 5.2 CorpFin v2	66.1%
Vals AI	GLM 5.2 EMB	61.5%
Vals AI	GLM 5.2 Finance Agent (v2)	49.7%
Vals AI	GLM 5.2 GPQA Diamond	85.6%
Vals AI	GLM 5.2 Harvey's Legal Agent Benchmark v1	7.1%
Vals AI	GLM 5.2 LiveCodeBench	69.5%
Vals AI	GLM 5.2 LegalBench	84.1%
Vals AI	GLM 5.2 Legal Research Bench	31.3%
Vals AI	GLM 5.2 MedCode	40.8%
Vals AI	GLM 5.2 MedScribe	83.5%
Vals AI	GLM 5.2 MMLU Pro	86.7%
Vals AI	GLM 5.2 ProgramBench	0.5%
Vals AI	GLM 5.2 ProofBench v1	35.0%
Vals AI	GLM 5.2 SkillsBench	45.1%
Vals AI	GLM 5.2 SRE Bench	0.0%
Vals AI	GLM 5.2 SWE-bench	82.8%
Vals AI	GLM 5.2 TaxEval v2	73.3%
Vals AI	GLM 5.2 Terminal-Bench 2.1	67.8%
Vals AI	GLM 5.2 Vals Index	53.1%
Vals AI	GLM 5.2 Vibe Code Bench v1.1	64.0%


	US$0.006	US$6.80	US$0.005	0.33s	118 tps	100.00%
	US$0.0065	US$7.9057	US$0.0065	1.46s	97 tps	100.00%
	US$0.078	US$1.40	US$0.069	1.97s	16 tps	100.00%
	US$0.19	US$8.00	US$0.18	0.35s	100 tps	100.00%
	US$0.19	US$8.00	US$0.19	0.84s	90 tps	99.95%
25% off	US$0.75US$0.5625	US$2.40US$1.80	US$0.14US$0.105	2.04s	38 tps	99.79%
56% off	US$1.40US$0.6131	US$4.40US$1.927	US$0.26US$0.1139	1.08s	53 tps	100.00%
	US$0.62	US$2.42	US$0.14	0.54s	157 tps	99.90%
54% off	US$1.40US$0.6496	US$4.40US$2.042	US$0.26US$0.1206	1.93s	58 tps	99.83%
	US$0.70	US$2.20	US$0.105	0.82s	85 tps	99.78%
50% off	US$1.40US$0.70	US$4.40US$2.20	US$0.26US$0.13	1.02s	84 tps	100.00%
33% off	US$1.40US$0.938	US$4.40US$2.948	US$0.26US$0.1742	0.94s	55 tps	100.00%
	US$0.966	US$3.036	US$0.1932	0.95s	72 tps	99.49%
	US$1.12	US$3.52	US$0.224	0.97s	52 tps	94.92%
	US$1.40	US$4.40	US$0.14	1.07s	83 tps	99.62%
	US$1.40	US$4.40	US$0.14	2.83s	49 tps	98.78%
	US$1.40	US$4.40	US$0.19	0.32s	115 tps	99.52%
	US$1.40	US$4.40	US$0.26	0.30s	153 tps	99.58%
	US$1.40	US$4.40	US$0.26	0.98s	57 tps	100.00%
	US$1.40	US$4.40	US$0.14	2.26s	49 tps	98.60%
	US$1.40	US$4.40	US$0.26	2.62s	49 tps	99.41%
	US$1.40	US$4.40	US$0.26	2.59s	26 tps	100.00%
	US$1.40	US$4.40	US$0.26	0.56s	152 tps	99.93%
	US$1.40	US$4.40	US$0.26	0.77s	102 tps	99.65%
	US$1.40	US$4.40	US$0.26	1.49s	64 tps	100.00%
Fast	US$2.10	US$6.60	US$0.21	0.33s	247 tps	99.65%
Fast	US$2.10	US$6.60	US$0.21	0.30s	261 tps	99.67%
Fast	US$2.25	US$7.88	US$0.56	0.97s	80 tps	99.59%
Fast	US$2.31	US$7.26	US$0.462	0.78s	93 tps	100.00%
	US$1.40	US$4.40	US$0.14	1.25s	82 tps	66.14%
	US$0.60	US$2.00	US$0.15	50.15s	4 tps	95.48%
Standard 라우팅에서 사용되지 않음:이 엔드포인트가 사용되지 않는 이유
Flex25% off	US$0.60US$0.45	US$1.92US$1.44	US$0.112US$0.084	3.74s	34 tps	100.00%
	US$1.54	US$4.84	US$0.154	--	--	100.00%

벤치마크 점수 요약: Z.ai: GLM 5.2 (Artificial Analysis, Design Arena 및 Vals AI)
출처	벤치마크	점수
Artificial Analysis	GLM-5.2 (Max) Coding Index	68.8
Artificial Analysis	GLM-5.2 (Max) Agentic Index	38.4
Artificial Analysis	GLM-5.2 (Max) GPQA Diamond	89.5%
Artificial Analysis	GLM-5.2 (Max) HLE	41.1%
Artificial Analysis	GLM-5.2 (Max) IFBench	73.3%
Artificial Analysis	GLM-5.2 (Max) τ²-Bench Telecom	99.1%
Artificial Analysis	GLM-5.2 (Max) AA-LCR	78.3%
Artificial Analysis	GLM-5.2 (Max) τ-Bench Banking	34.6%
Artificial Analysis	GLM-5.2 (Max) GDPval-AA	44.1%
Artificial Analysis	GLM-5.2 (Max) CritPt	20.9%
Artificial Analysis	GLM-5.2 (Max) SciCode	51.2%
Artificial Analysis	GLM-5.2 (Max) Terminal-Bench Hard	50.8%
Artificial Analysis	GLM-5.2 (Max) Terminal-Bench 4.0	1.0%
Artificial Analysis	GLM-5.2 (Max) Terminal-Bench 2.1	77.9%
Artificial Analysis	GLM-5.2 (Non-reasoning) Coding Index	46.5
Artificial Analysis	GLM-5.2 (Non-reasoning) GPQA Diamond	68.6%
Artificial Analysis	GLM-5.2 (Non-reasoning) HLE	9.8%
Artificial Analysis	GLM-5.2 (Non-reasoning) AA-LCR	42.3%
Artificial Analysis	GLM-5.2 (Non-reasoning) τ-Bench Banking	16.7%
Artificial Analysis	GLM-5.2 (Non-reasoning) GDPval-AA	37.6%
Artificial Analysis	GLM-5.2 (Non-reasoning) CritPt	3.1%
Artificial Analysis	GLM-5.2 (Non-reasoning) Terminal-Bench 2.1	51.7%
Design Arena	GLM 5.2 Agents Arena Agenticgamedev Elo	1155
Design Arena	GLM 5.2 Agents Arena Androidnative Elo	1177
Design Arena	GLM 5.2 Agents Arena Blender3d Elo	983
Design Arena	GLM 5.2 Agents Arena Full Stack Elo	1241
Design Arena	GLM 5.2 Agents Arena Godotgamedev Elo	1142
Design Arena	GLM 5.2 Agents Arena Htmlslides Elo	1071
Design Arena	GLM 5.2 Agents Arena Mobile Apps Elo	1160
Design Arena	GLM 5.2 Agents Arena Pdf Elo	1213
Design Arena	GLM 5.2 Agents Arena Python-Pptxslides Elo	1148
Design Arena	GLM 5.2 Agents Arena Webapps Elo	1207
Design Arena	GLM 5.2 Models Arena 3D Elo	1284
Design Arena	GLM 5.2 Models Arena Asciiart Elo	1188
Design Arena	GLM 5.2 Models Arena Code Categories Elo	1285
Design Arena	GLM 5.2 Models Arena Data Visualization Elo	1286
Design Arena	GLM 5.2 Models Arena Game Development Elo	1266
Design Arena	GLM 5.2 Models Arena SVG Elo	1207
Design Arena	GLM 5.2 Models Arena UI Component Elo	1290
Design Arena	GLM 5.2 Models Arena Website Elo	1283
Vals AI	GLM 5.2 Code Migration	37.9%
Vals AI	GLM 5.2 CorpFin v2	66.1%
Vals AI	GLM 5.2 EMB	61.5%
Vals AI	GLM 5.2 Finance Agent (v2)	49.7%
Vals AI	GLM 5.2 GPQA Diamond	85.6%
Vals AI	GLM 5.2 Harvey's Legal Agent Benchmark v1	7.1%
Vals AI	GLM 5.2 LiveCodeBench	69.5%
Vals AI	GLM 5.2 LegalBench	84.1%
Vals AI	GLM 5.2 Legal Research Bench	31.3%
Vals AI	GLM 5.2 MedCode	40.8%
Vals AI	GLM 5.2 MedScribe	83.5%
Vals AI	GLM 5.2 MMLU Pro	86.7%
Vals AI	GLM 5.2 ProgramBench	0.5%
Vals AI	GLM 5.2 ProofBench v1	35.0%
Vals AI	GLM 5.2 SkillsBench	45.1%
Vals AI	GLM 5.2 SRE Bench	0.0%
Vals AI	GLM 5.2 SWE-bench	82.8%
Vals AI	GLM 5.2 TaxEval v2	73.3%
Vals AI	GLM 5.2 Terminal-Bench 2.1	67.8%
Vals AI	GLM 5.2 Vals Index	53.1%
Vals AI	GLM 5.2 Vibe Code Bench v1.1	64.0%

GLM 5.3 FlashX Legal

GLM-5.3-FlashX-Legal (GLM-Legal) is Z.ai's legal-domain variant of GLM-5.3-FlashX, a native multimodal model that accepts text, image, and video input and produces text. It adds legal-domain mid-training and post-training with reinforcement learning in task environments modeled on real legal workflows, targeting document understanding, legal reasoning, and multi-step task execution such as legal research, contract review, cross-document consistency checks, and drafting or revising legal documents.

It keeps the GLM-5.3-FlashX 1M-token context window, mandatory thinking mode, function calling, structured output, and streaming, and is designed to run in agent setups connected to legal data and document-editing tools (MCP services).

텍스트1.0M 컨텍스트US$0.37 / US$1.25

GLM 5.3 Prime

GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It supports text input and output with a 1M-token context window and up to 128K output tokens, and targets coding and agentic workloads, including long-horizon multi-turn agent orchestration, real-time conversation, and streaming code generation.

Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

텍스트1M 컨텍스트US$2.80 / US$8.80

GLM 5.3 FlashX

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture (320B total parameters, 18B active), it is suited for efficient coding, visual understanding, and long-horizon agent tasks with a 1M-token context window.

텍스트1.0M 컨텍스트US$0.37 / US$1.25

GLM Flash Latest

This model always redirects to the latest model in the GLM Flash family.

텍스트1.0M 컨텍스트

GLM 5.3 Flash

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.

텍스트1.0M 컨텍스트US$0.0285 / US$0.0923

GLM 5.3 Flash (batch)

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.

텍스트1.0M 컨텍스트US$0.05 / US$0.18

GLM Latest

This model always redirects to the latest GLM model from Z.ai.

텍스트1.0M 컨텍스트

GLM 5.3

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.

Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

텍스트1.0M 컨텍스트US$0.0699 / US$1.40

GLM 5.3 (batch)

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.

Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

텍스트1.0M 컨텍스트US$0.45 / US$2

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation.

Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.

텍스트1.0M 컨텍스트US$0.006 / US$6.80

GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on a single task for more than 8 hours, autonomously planning, executing, and improving itself throughout the process, ultimately delivering complete, engineering-grade results.

텍스트205K 컨텍스트US$0.90 / US$2.90

GLM 5V Turbo

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding, and task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute“.

텍스트203K 컨텍스트US$1.20 / US$4

GLM 5 Turbo

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with improved complex instruction decomposition, tool use, scheduled and persistent execution, and overall stability across extended tasks.

텍스트203K 컨텍스트US$1.20 / US$4

GLM 5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.

텍스트205K 컨텍스트US$0.60 / US$1.92

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.

텍스트200K 컨텍스트US$0.0605 / US$0.40

GLM 4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.

텍스트205K 컨텍스트US$0.40 / US$1.75

GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts and charts directly as visual inputs, and integrates native multimodal function calling to connect perception with downstream tool execution. The model also enables interleaved image-text generation and UI reconstruction workflows, including screenshot-to-HTML synthesis and iterative visual editing.

텍스트131K 컨텍스트US$0.30 / US$0.90

GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements:

Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks. Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages. Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability. More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks. Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.

텍스트205K 컨텍스트US$0.43 / US$1.75

GLM 4.5V

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a "thinking mode" for deep reasoning and a "non-thinking mode" for fast responses. Reasoning behavior can be toggled via the reasoning enabled boolean. Learn more in our docs

텍스트66K 컨텍스트US$0.60 / US$1.80

GLM 4.5

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly enhanced capabilities in reasoning, code generation, and agent alignment. It supports a hybrid inference mode with two options, a "thinking mode" designed for complex reasoning and tool use, and a "non-thinking mode" optimized for instant responses. Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs

텍스트131K 컨텍스트US$0.60 / US$2.20

Z.ai: GLM 5.2

Z.ai: GLM 5.2

제공업체

요금

성능

가동 시간

벤치마크

앱

활동

API

EU 역내 라우팅을 통해 사용 가능

더 많은 모델 탐색

제공업체

요금

성능

가동 시간

지난 3일간 가용성

지난 24시간 동안의 가용성

벤치마크

앱

활동

API

EU 역내 라우팅을 통해 사용 가능

자주 묻는 질문

더 많은 모델 탐색

다음 제작사의 다른 모델: Z.ai

지난 3일간 가용성

지난 24시간 동안의 가용성

자주 묻는 질문

다음 제작사의 다른 모델: Z.ai

Z.ai: GLM 5.2

Z.ai: GLM 5.2

제공업체

요금

성능

가동 시간

벤치마크

앱

활동

API

EU 역내 라우팅을 통해 사용 가능

더 많은 모델 탐색

제공업체

요금

성능

가동 시간

지난 3일간 가용성

지난 24시간 동안의 가용성

벤치마크

앱

활동

API

EU 역내 라우팅을 통해 사용 가능

자주 묻는 질문

GLM 5.2이란 무엇입니까?

GLM 5.2의 비용은 얼마입니까?

GLM 5.2의 컨텍스트 길이는 얼마입니까?

GLM 5.2 모델은 도구 호출과 구조화된 출력을 지원합니까?

GLM 5.2을 제공하는 제공업체는 어디입니까?

GLM 5.2은(는) 언제 출시되었습니까?

더 많은 모델 탐색

다음 제작사의 다른 모델: Z.ai

지난 3일간 가용성

지난 24시간 동안의 가용성

자주 묻는 질문

GLM 5.2이란 무엇입니까?

GLM 5.2의 비용은 얼마입니까?

GLM 5.2의 컨텍스트 길이는 얼마입니까?

GLM 5.2 모델은 도구 호출과 구조화된 출력을 지원합니까?

GLM 5.2을 제공하는 제공업체는 어디입니까?

GLM 5.2은(는) 언제 출시되었습니까?

다음 제작사의 다른 모델: Z.ai