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Favicon for z-ai

Z.ai: GLM 5.2

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

$0.50 / $3.15per 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.

Explore more models

AI Model RankingsRanking
$0.50$3.15$0.1151.71s36 tps
96.62%
$0.60$2.00$0.152.05s69 tps
90.64%
$0.70$2.20$0.1050.92s58 tps
99.66%
$0.72$2.38$0.120.88s92 tps
96.86%
48% off
$1.40$0.735$4.40$2.31$0.26$0.13651.33s58 tps
99.93%
47% off
$1.40$0.742$4.40$2.332$0.26$0.13785.18s21 tps
99.57%
$0.75$2.40$0.141.35s39 tps
99.59%
$0.75$2.40$0.170.63s68 tps
99.33%
$0.76$2.42$0.141.10s103 tps
99.94%
$0.8415$3.137$0.16831.41s42 tps
90.95%
$0.94$2.80$0.180.64s90 tps
98.21%
$0.966$3.036$0.19321.54s51 tps
99.86%
25% off
$1.40$1.05$4.40$3.30$0.26$0.1953.45s30 tps
99.36%
$1.10$3.75$0.201.31s39 tps
97.13%
15% off
$1.40$1.19$4.40$3.74$0.26$0.2211.76s60 tps
95.91%
$1.26$3.00$0.226.06s14 tps
96.93%
10% off
$1.40$1.26$4.40$3.96$0.26$0.2341.52s45 tps
99.95%
$1.26$3.96$0.2342.13s39 tps
86.80%
$1.40$4.40$0.261.15s59 tps
99.99%
$1.40$4.40$0.141.01s96 tps
99.98%
$1.40$4.40$0.141.38s72 tps
99.98%
$1.40$4.40$0.141.66s45 tps
99.68%
$1.40$4.40$0.261.97s31 tps
99.92%
$1.40$4.40$0.263.79s51 tps
99.92%
$1.40$4.40$0.260.70s136 tps
99.85%
$1.40$4.40$0.260.42s92 tps
98.97%
$1.40$4.40$0.260.81s80 tps
99.96%
$1.40$4.40$0.141.48s74 tps
99.91%
$1.40$4.40$0.262.08s41 tps
99.32%
$1.40$4.40$0.260.95s128 tps
99.78%
$1.54$4.84$0.1541.41s164 tps
100.00%
$2.10$6.60$0.212.03s91 tps
99.89%
$2.10$6.60$0.211.02s132 tps
99.26%
$2.10$6.60$0.210.90s95 tps
99.33%
$2.10$6.60$0.211.49s112 tps
99.93%
$2.31$7.26$0.4621.47s63 tps
99.97%
43% off
$1.20$0.684$4.00$2.28$0.20$0.1142.04s51 tps
98.37%

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 29 providers on OpenRouter: Sail Research, Ambient, Decart, DigitalOcean, Makora (fp8), StreamLake, NovitaAI, DeepInfra and 21 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.

Throughput

164tok/s

P50, best across providers

Latency

0.42s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Fireworks Fast (US)
86.4%--
Reka AI
90.2%76.0%
Wafer Fast
92.2%72.9%
Venice
84.1%78.5%
Baseten Fast
84.6%77.2%
Fireworks Fast
85.0%76.4%
Fireworks
85.5%75.6%
Wafer
83.2%73.8%
Baseten
83.8%70.7%
+30 more providers
Uptime (3d)

100.00%

Availability (3d)

99.85%

Availability over the last 3 days

Last 72 hours
Availability 99.85%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.90%
Without Routing
76.89%

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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