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Favicon for z-ai

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

$0.50 / $3.15per 1M

Context

1M

Released

Jun 16, 2026

Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

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.

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 26 providers, including Sail Research, Ambient, Decart, DigitalOcean, StreamLake, NovitaAI, GMICloud, DeepInfra and 18 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 131,072 tokens.

On OpenRouter, Z.ai: GLM 5.2 costs $0.50/M input tokens and $3.15/M output tokens, with separate rates for Cache Read at $0.115/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 $0.50/M input tokens and $3.15/M output tokens, with separate rates for Cache Read at $0.115/M tokens.

GLM 5.2 has a 1,048,576 token context window. It supports up to 131,072 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 26 providers on OpenRouter: Sail Research, Ambient, Decart, DigitalOcean, StreamLake, NovitaAI, GMICloud, DeepInfra and 18 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.

$0.50$3.15$0.1151.30s18 tps
99.54%
43% off
$1.20$0.684$4.00$2.28$0.20$0.1142.83s38 tps
99.51%
$0.70$2.20$0.1050.79s86 tps
99.05%
48% off
$1.40$0.7336$4.40$2.306$0.26$0.13622.21s36 tps
99.85%
47% off
$1.40$0.7406$4.40$2.328$0.26$0.13752.65s37 tps
99.93%
47% off
$1.40$0.742$4.40$2.332$0.26$0.13781.52s32 tps
99.41%
$0.75$2.40$0.141.12s50 tps
98.88%
$0.75$2.90$0.170.68s107 tps
95.98%
$0.76$2.42$0.140.55s122 tps
99.81%
$0.966$3.036$0.19321.43s44 tps
99.49%
$1.10$4.10$0.221.44s37 tps
98.35%
15% off
$1.40$1.19$4.40$3.74$0.26$0.2212.15s33 tps
99.96%
$1.26$3.00$0.222.41s27 tps
99.87%
10% off
$1.40$1.26$4.40$3.96$0.26$0.2342.03s39 tps
97.88%
$1.40$4.40$0.265.92s23 tps
99.08%
$1.40$4.40$0.141.71s49 tps
97.92%
$1.40$4.40$0.263.14s47 tps
98.95%
$1.40$4.40$0.260.68s104 tps
99.80%
$1.40$4.40$0.260.68s127 tps
99.87%
$1.40$4.40$0.262.17s30 tps
98.99%
$1.40$4.40$0.261.01s51 tps
99.90%
$1.40$4.40$0.260.90s49 tps
99.82%
$1.40$4.40$0.141.77s45 tps
99.73%
$2.10$6.60$0.212.14s101 tps
98.88%
$2.10$6.60$0.211.87s59 tps
99.88%
$2.10$6.60$0.211.79s46 tps
99.73%
$2.31$7.26$0.4621.61s34 tps
99.91%
$1.26$3.96$0.2347.86s30 tps
98.21%
$1.40$4.40$0.260.96s46 tps
94.39%
$0.60$2.00$0.159.07s8 tps
86.41%

Throughput

127tok/s

P50, best across providers

Latency

0.55s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Wafer Fast
92.2%73.3%
Venice
84.8%77.9%
Baidu Qianfan
85.9%76.8%
Z.ai
86.0%75.9%
Ambient
84.0%77.8%
Wafer
--75.3%
+26 more providers
Uptime (3d)

100.00%

Availability (3d)

99.80%

Availability over the last 3 days

Last 72 hours
Availability 99.80%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.70%
Without Routing
88.58%

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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