How much does GLM 5.2 cost?

GLM 5.2 costs $0.06/M input tokens and $7.00/M output tokens, with separate rates for Cache Read at $0.059/M tokens.

What is the context length of GLM 5.2?

GLM 5.2 has a 1,048,576 token context window. It supports up to 1,048,576 completion tokens.

Does GLM 5.2 support tool calling and structured outputs?

Yes. GLM 5.2 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Which providers serve GLM 5.2?

GLM 5.2 is served by 25 providers on OpenRouter: Wafer, inference.net, Decart Fast, Cloudflare, StreamLake, DeepInfra, NovitaAI, DigitalOcean and 17 more. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was GLM 5.2 released?

GLM 5.2 was released on June 16, 2026.

GLM 5.2 - API Pricing & Benchmarks

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

Benchmark score summary for Z.ai: GLM 5.2 (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	GLM-5.2 (Max) Intelligence Index	33.7
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	43.7%
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 (Max) AA-Omniscience Accuracy	24.3%
Artificial Analysis	GLM-5.2 (Max) AA-Omniscience Non-Hallucination Rate	73.7%
Artificial Analysis	GLM-5.2 (Non-reasoning) Intelligence Index	22.4
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	37.5%
Artificial Analysis	GLM-5.2 (Non-reasoning) CritPt	3.1%
Artificial Analysis	GLM-5.2 (Non-reasoning) Terminal-Bench 2.1	51.7%
Artificial Analysis	GLM-5.2 (Non-reasoning) AA-Omniscience Accuracy	20.3%
Artificial Analysis	GLM-5.2 (Non-reasoning) AA-Omniscience Non-Hallucination Rate	66.3%
Design Arena	GLM 5.2 Agents Arena Agenticgamedev Elo	1205
Design Arena	GLM 5.2 Agents Arena Androidnative Elo	1193
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	1175
Design Arena	GLM 5.2 Agents Arena Mobile Apps Elo	1156
Design Arena	GLM 5.2 Agents Arena Python-Pptxslides Elo	1194
Design Arena	GLM 5.2 Agents Arena Webapps Elo	1215
Design Arena	GLM 5.2 Models Arena 3D Elo	1294
Design Arena	GLM 5.2 Models Arena Asciiart Elo	1200
Design Arena	GLM 5.2 Models Arena Code Categories Elo	1293
Design Arena	GLM 5.2 Models Arena Data Visualization Elo	1290
Design Arena	GLM 5.2 Models Arena Game Development Elo	1275
Design Arena	GLM 5.2 Models Arena SVG Elo	1217
Design Arena	GLM 5.2 Models Arena UI Component Elo	1298
Design Arena	GLM 5.2 Models Arena Website Elo	1290
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	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	65.0%
Vals AI	GLM 5.2 Vibe Code Bench v1.1	64.0%


	$0.06	$7.00	$0.059	0.56s	130 tps	99.72%
	$0.18	$4.40	$0.12	0.64s	104 tps	100.00%
	$0.19	$8.00	$0.18	0.54s	128 tps	99.97%
58% off	$0.65$0.273	$4.00$1.68	$0.25$0.105	2.67s	54 tps	99.92%
	$0.50	$6.00	$0.26	1.10s	95 tps	96.54%
60% off	$1.40$0.5555	$4.40$1.746	$0.26$0.1032	1.05s	51 tps	99.09%
25% off	$0.75$0.5625	$2.40$1.80	$0.14$0.105	1.03s	82 tps	100.00%
54% off	$1.40$0.6496	$4.40$2.042	$0.26$0.1206	1.46s	69 tps	100.00%
	$0.70	$2.20	$0.105	0.62s	98 tps	100.00%
	$0.76	$2.42	$0.14	0.41s	185 tps	99.92%
33% off	$1.40$0.938	$4.40$2.948	$0.26$0.1742	2.06s	47 tps	100.00%
	$0.966	$3.036	$0.1932	0.70s	54 tps	99.56%
	$1.12	$3.52	$0.224	1.11s	65 tps	100.00%
15% off	$1.40$1.19	$4.40$3.74	$0.26$0.221	1.25s	84 tps	99.10%
	$1.25	$5.46	$0.20	0.27s	134 tps	99.76%
	$1.26	$3.00	$0.22	1.28s	80 tps	100.00%
	$1.40	$4.40	--	0.42s	161 tps	91.61%
	$1.40	$4.40	$0.14	0.64s	104 tps	100.00%
	$1.40	$4.40	$0.14	1.29s	88 tps	100.00%
	$1.40	$4.40	$0.26	0.28s	146 tps	99.85%
	$1.40	$4.40	$0.26	0.80s	64 tps	99.71%
	$1.40	$4.40	$0.14	0.75s	87 tps	100.00%
	$1.40	$4.40	$0.26	0.73s	79 tps	99.71%
	$1.40	$4.40	$0.26	1.88s	52 tps	100.00%
	$1.40	$4.40	$0.26	0.48s	116 tps	99.86%
	$1.40	$4.40	$0.26	0.28s	109 tps	99.31%
	$1.40	$4.40	$0.26	2.98s	53 tps	99.95%
	$2.00	$6.00	$0.137	1.12s	13 tps	99.75%
	$2.10	$6.60	$0.21	0.51s	163 tps	100.00%
	$2.10	$6.60	$0.21	0.50s	181 tps	99.94%
	$2.25	$7.88	$0.56	0.75s	83 tps	100.00%
	$2.31	$7.26	$0.462	0.57s	73 tps	100.00%
	$2.50	$9.00	$0.54	0.50s	277 tps	100.00%
Not used in Standard routing:Why these endpoints are not used
	$1.54	$4.84	$0.154	0.73s	174 tps	100.00%

Benchmark score summary for Z.ai: GLM 5.2 (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	GLM-5.2 (Max) Intelligence Index	33.7
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	43.7%
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 (Max) AA-Omniscience Accuracy	24.3%
Artificial Analysis	GLM-5.2 (Max) AA-Omniscience Non-Hallucination Rate	73.7%
Artificial Analysis	GLM-5.2 (Non-reasoning) Intelligence Index	22.4
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	37.5%
Artificial Analysis	GLM-5.2 (Non-reasoning) CritPt	3.1%
Artificial Analysis	GLM-5.2 (Non-reasoning) Terminal-Bench 2.1	51.7%
Artificial Analysis	GLM-5.2 (Non-reasoning) AA-Omniscience Accuracy	20.3%
Artificial Analysis	GLM-5.2 (Non-reasoning) AA-Omniscience Non-Hallucination Rate	66.3%
Design Arena	GLM 5.2 Agents Arena Agenticgamedev Elo	1205
Design Arena	GLM 5.2 Agents Arena Androidnative Elo	1193
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	1175
Design Arena	GLM 5.2 Agents Arena Mobile Apps Elo	1156
Design Arena	GLM 5.2 Agents Arena Python-Pptxslides Elo	1194
Design Arena	GLM 5.2 Agents Arena Webapps Elo	1215
Design Arena	GLM 5.2 Models Arena 3D Elo	1294
Design Arena	GLM 5.2 Models Arena Asciiart Elo	1200
Design Arena	GLM 5.2 Models Arena Code Categories Elo	1293
Design Arena	GLM 5.2 Models Arena Data Visualization Elo	1290
Design Arena	GLM 5.2 Models Arena Game Development Elo	1275
Design Arena	GLM 5.2 Models Arena SVG Elo	1217
Design Arena	GLM 5.2 Models Arena UI Component Elo	1298
Design Arena	GLM 5.2 Models Arena Website Elo	1290
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	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	65.0%
Vals AI	GLM 5.2 Vibe Code Bench v1.1	64.0%

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.

Text1M context$2.80 / $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.

Text1.0M context$0.37 / $1.25

GLM Flash Latest

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

Text1.0M context

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.

Text1.0M context$0.04 / $0.50

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.

Text1.0M context$0.06 / $0.20

GLM Latest

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

Text1.0M context

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.

Text1.0M context$0.039 / $4.80

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.

Text1.0M context$0.45 / $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.

Text1.0M context$0.06 / $7

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.

Text205K context$0.966 / $3.036

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“.

Text203K context$1.20 / $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.

Text203K context$1.20 / $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.

Text205K context$0.60 / $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.

Text200K context$0.06 / $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.

Text205K context$0.40 / $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.

Text131K context$0.30 / $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.

Text205K context$0.43 / $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

Text66K context$0.60 / $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

Text131K context$0.60 / $2.20

GLM 4.5 Air

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter size. GLM-4.5-Air also supports hybrid inference modes, offering a "thinking mode" for advanced reasoning and tool use, and a "non-thinking mode" for real-time interaction. Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs

Text131K context$0.13 / $0.85

Z.ai: GLM 5.2

z-ai/glm-5.2

Z.ai: GLM 5.2

z-ai/glm-5.2

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Z.ai: GLM 5.2

z-ai/glm-5.2

Z.ai: GLM 5.2

z-ai/glm-5.2

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When was GLM 5.2 released?

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Frequently asked questions

What is GLM 5.2?

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Does GLM 5.2 support tool calling and structured outputs?

Which providers serve GLM 5.2?

When was GLM 5.2 released?

More models from Z.ai