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Z.ai: GLM 5.2

z-ai/glm-5.2

Model weights
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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

76% off

$0.336 / $1.056per 1M

Context

1M

Released

Jun 16, 2026

Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

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).

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.

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).

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.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

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.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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76% off
$1.40$0.336$4.40$1.056$0.26$0.06242.65s43 tps
98.73%
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$0.50$3.15$0.1152.03s20 tps
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43% off
$1.20$0.684$4.00$2.28$0.20$0.1142.88s38 tps
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47% off
$1.40$0.7406$4.40$2.328$0.26$0.13751.73s47 tps
99.60%
47% off
$1.40$0.742$4.40$2.332$0.26$0.13781.50s45 tps
96.26%
$0.75$2.40$0.141.48s32 tps
99.47%
$0.76$2.42$0.142.81s45 tps
99.30%
$0.8415$3.137$0.16831.90s22 tps
91.42%
$0.966$3.036$0.19321.16s54 tps
98.19%
15% off
$1.40$1.19$4.40$3.74$0.26$0.2211.81s58 tps
99.08%
$1.26$3.00$0.221.54s37 tps
95.75%
10% off
$1.40$1.26$4.40$3.96$0.26$0.2341.17s50 tps
99.10%
$1.26$3.96$0.2345.04s56 tps
98.33%
$1.40$4.40$0.14----
99.99%
$1.40$4.40$0.141.28s51 tps
98.54%
$1.40$4.40$0.261.41s71 tps
99.97%
$1.40$4.40$0.261.19s63 tps
99.93%
$1.40$4.40$0.261.21s59 tps
99.91%
$1.40$4.40$0.260.84s68 tps
99.66%
$1.40$4.40$0.141.53s58 tps
99.42%
$1.40$4.40$0.261.50s34 tps
98.26%
$1.40$4.40$0.260.65s109 tps
99.74%
$2.10$6.60$0.210.94s75 tps
99.86%
$2.10$6.60$0.212.67s58 tps
98.77%
$2.10$6.60$0.211.13s75 tps
98.67%
$2.10$6.60$0.211.82s89 tps
99.17%
$2.31$7.26$0.4621.21s61 tps
98.89%
$0.60$2.00$0.151.21s50 tps
90.22%
$0.75$2.90$0.170.79s76 tps
95.99%
$1.40$4.40$0.261.36s53 tps
90.90%

Throughput

109tok/s

P50, best across providers

Latency

0.65s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Fireworks Fast (US)
86.4%--
Wafer Fast
92.2%73.3%
Venice
84.8%77.9%
Baidu Qianfan
85.9%76.8%
Z.ai
86.0%75.9%
Fireworks
85.8%75.5%
Fireworks Fast
85.4%75.6%
Wafer
--75.3%
+26 more providers
Uptime (3d)

100.00%

Availability (3d)

99.73%

Availability over the last 3 days

Last 72 hours
Availability 99.73%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.81%
Without Routing
91.55%

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.

1.
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Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
4.15Ttokens
2.
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Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
1.57Ttokens
3.
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schema-markup-generation
new
774Btokens
4.
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pi
There are many coding agents, but this one is yours.
264Btokens
5.
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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.
239Btokens

About Z.ai: GLM 5.2

OpenRouter makes Z.ai: GLM 5.2 available through a unified, OpenAI-compatible API using the model ID z-ai/glm-5.2. Requests can be routed across 27 providers, including StreamLake, Baidu Qianfan, Sail Research, Ambient, Decart, DigitalOcean, NovitaAI, GMICloud and 19 more, with automatic failover when an endpoint is unavailable.

Z.ai: GLM 5.2 accepts text and returns text. It has a 1,048,576-token context window and a maximum output of 128,000 tokens.

On OpenRouter, Z.ai: 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. Effective pricing can be lower when prompt caching applies. It was released on June 16, 2026.

More models from Z.ai

  • GLM 5.3
  • GLM 5.1
  • GLM 5V Turbo

Frequently asked questions

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.

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.

GLM 5.2 has a 1,048,576 token context window. It supports up to 128,000 completion tokens.

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

GLM 5.2 is served by 27 providers on OpenRouter: StreamLake, Baidu Qianfan, Sail Research, Ambient, Decart, DigitalOcean, NovitaAI, 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.

GLM 5.2 was released on June 16, 2026.