How much does GLM 5.2 cost?

GLM 5.2 costs $0.336/M input tokens and $1.056/M output tokens, with separate rates for Cache Read at $0.0624/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 128,000 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 27 providers on OpenRouter: StreamLake, Baidu Qianfan, Sail Research, Ambient, Decart, NovitaAI, DigitalOcean, GMICloud and 19 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.

Z.ai: GLM 5.2

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

z-ai/glm-5.2

Model weights

Compare

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

76% off

$0.336 / $1.056per 1M

Context

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 Exacto (highest tool-calling accuracy).

Latency / throughput


76% off	$1.40$0.336	$4.40$1.056	$0.26$0.0624	2.06s	46 tps	99.84%
75% off	$1.40$0.35	$4.40$1.10	$0.26$0.065	0.98s	57 tps	99.91%
	$0.50	$3.15	$0.115	1.79s	42 tps	99.97%
	$0.60	$2.00	$0.15	2.05s	19 tps	94.30%
43% off	$1.20$0.684	$4.00$2.28	$0.20$0.114	1.18s	79 tps	96.45%
50% off	$1.40$0.70	$4.40$2.20	$0.26$0.13	1.08s	51 tps	99.84%
	$0.70	$2.20	$0.105	0.83s	60 tps	99.79%
47% off	$1.40$0.742	$4.40$2.332	$0.26$0.1378	1.19s	49 tps	99.91%
	$0.75	$2.40	$0.14	1.43s	33 tps	99.85%
	$0.75	$2.90	$0.17	0.61s	133 tps	96.42%
	$0.76	$2.42	$0.14	0.59s	115 tps	99.88%
	$0.8415	$3.137	$0.1683	2.72s	26 tps	95.62%
	$0.966	$3.036	$0.1932	1.10s	58 tps	99.76%
15% off	$1.40$1.19	$4.40$3.74	$0.26$0.221	1.21s	30 tps	99.99%
	$1.26	$3.00	$0.22	1.55s	43 tps	99.89%
10% off	$1.40$1.26	$4.40$3.96	$0.26$0.234	2.51s	41 tps	99.98%
	$1.26	$3.96	$0.234	4.80s	60 tps	99.21%
	$1.40	$4.40	$0.14	0.88s	99 tps	99.55%
	$1.40	$4.40	$0.14	1.19s	48 tps	99.38%
	$1.40	$4.40	$0.26	2.30s	73 tps	100.00%
	$1.40	$4.40	$0.26	0.93s	36 tps	99.98%
	$1.40	$4.40	$0.26	0.49s	98 tps	99.97%
	$1.40	$4.40	$0.26	0.58s	64 tps	98.05%
	$1.40	$4.40	$0.26	0.69s	77 tps	99.98%
	$1.40	$4.40	$0.14	1.31s	73 tps	98.69%
	$1.40	$4.40	$0.26	2.14s	44 tps	99.45%
	$1.40	$4.40	$0.26	0.69s	111 tps	99.68%
	$2.10	$6.60	$0.21	0.79s	131 tps	99.85%
	$2.10	$6.60	$0.21	0.77s	90 tps	97.70%
	$2.10	$6.60	$0.21	1.41s	86 tps	95.84%
	$2.31	$7.26	$0.462	1.25s	74 tps	99.98%
	$2.10	$6.60	$0.21	1.27s	103 tps	88.61%

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).

Throughput

133tok/s

P50, best across providers

Latency

0.49s

P50, best provider

Latency / throughput

AutoExacto Benchmarks

GPQA DiamondTAU-Bench

Fireworks Fast (US)

86.4%--

Wafer Fast

92.2%73.3%

Venice

84.1%77.9%

Baseten Fast

84.6%77.2%

Fireworks

85.5%75.8%

Ambient

84.6%76.3%

Fireworks Fast

85.0%75.6%

Wafer

83.2%73.8%

Baseten

83.8%70.7%

+27 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.

Uptime (3d)

100.00%

Availability (3d)

99.74%

Availability over the last 3 days

Last 72 hours

Availability 99.74%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.80%

Without Routing

93.28%

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 customization options.

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Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

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1.53Ttokens

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new

774Btokens

There are many coding agents, but this one is yours.

254Btokens

OpenClaw

OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.

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