How much does GLM 5.2 (batch) cost?

GLM 5.2 (batch) costs $0.347/M input tokens and $1.068/M output tokens, with separate rates for Cache Read at $0.117/M tokens.

What is the context length of GLM 5.2 (batch)?

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

Does GLM 5.2 (batch) support tool calling and structured outputs?

Yes. GLM 5.2 (batch) 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 (batch)?

GLM 5.2 (batch) is served by 1 provider on OpenRouter: Morph.

What other text models does Z.ai have?

GLM 5.3 FlashX Legal, GLM 5.3 Prime, GLM 5.3 FlashX and 13 more are other text models from Z.ai.

When was GLM 5.2 (batch) released?

GLM 5.2 (batch) was released on June 16, 2026.

Z.ai: GLM 5.2 (batch)

z-ai/glm-5.2:batch

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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.

Modalities

In / out price

$0.347 / $1.068per 1M

Context

1.0M

Released

Jun 16, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).


	$0.347	$1.068	$0.117	--	--	--

Input $0.347Output $1.068
-- tok/s-- uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0/M tokens

Output

$0/M tokens

GLM 5.2 (batch) — Price history

Price history

No effective price data for this selection

		$0.00	$0.00	6.6%	100.0%

Effective in $0.00Effective out $0.00
Token share
100.0%

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Reasoning effort

AutoExacto benchmarks

GPQA DiamondTAU-BenchDigitalOcean90.5%75.2%Morph85.3%77.2%Wafer89.6%71.6%DeepInfra91.0%68.4%Alibaba Cloud Int.86.8%72.4%Alibaba Cloud Int.87.6%71.4%Wafer88.7%69.8%Alibaba Cloud Int.84.0%69.1%

+22 more providers

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Not enough uptime data to display yet.

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Z.ai: GLM 5.2 (batch) (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
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	44.0%
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	21.1%
Artificial Analysis	GLM-5.2 (Max) AA-Omniscience Non-Hallucination Rate	74.1%
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	1153
Design Arena	GLM 5.2 Agents Arena Androidnative Elo	1170
Design Arena	GLM 5.2 Agents Arena Blender3d Elo	983
Design Arena	GLM 5.2 Agents Arena Full Stack Elo	1213
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	1153
Design Arena	GLM 5.2 Agents Arena Pdf Elo	1242
Design Arena	GLM 5.2 Agents Arena Python-Pptxslides Elo	1161
Design Arena	GLM 5.2 Agents Arena Spreadsheet Elo	1011
Design Arena	GLM 5.2 Agents Arena Webapps Elo	1200
Design Arena	GLM 5.2 Models Arena 3D Elo	1266
Design Arena	GLM 5.2 Models Arena Asciiart Elo	1185
Design Arena	GLM 5.2 Models Arena Code Categories Elo	1277
Design Arena	GLM 5.2 Models Arena Data Visualization Elo	1282
Design Arena	GLM 5.2 Models Arena Game Development Elo	1256
Design Arena	GLM 5.2 Models Arena SVG Elo	1195
Design Arena	GLM 5.2 Models Arena UI Component Elo	1286
Design Arena	GLM 5.2 Models Arena Website Elo	1277
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%

Not currently available through EU in-region routing. In-region routing docs

More models from Z.ai

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.

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GLM 5.3 Prime

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GLM 5.3

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

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GLM 5.3 (batch)

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GLM 5.2

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GLM 5.2 (batch)

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GLM 4.7 Flash

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Z.ai: GLM 5.2 (batch)

Providers

Pricing

Weighted average

GLM 5.2 (batch) — Price history

Performance

Uptime

Benchmarks

Apps

Activity

API

Frequently asked questions

Explore more models

More models from Z.ai

More models from Z.ai

Z.ai: GLM 5.2 (batch)

Providers

Pricing

Weighted average

GLM 5.2 (batch) — Price history

Performance

Uptime

Benchmarks

Apps

Activity

API

Frequently asked questions

What is GLM 5.2 (batch)?

How much does GLM 5.2 (batch) cost?

What is the context length of GLM 5.2 (batch)?

Does GLM 5.2 (batch) support tool calling and structured outputs?

Which providers serve GLM 5.2 (batch)?

What other text models does Z.ai have?

When was GLM 5.2 (batch) released?

Explore more models

More models from Z.ai

More models from Z.ai