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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

35% off

$0.4875 / $1.56per 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
35% off
$0.75$0.4875$2.40$1.56$0.14$0.0911.28s39 tps
99.47%
$0.50$3.15$0.1151.27s24 tps
99.97%
$0.60$2.00$0.151.62s47 tps
97.38%
43% off
$1.20$0.684$4.00$2.28$0.20$0.1144.14s35 tps
97.61%
$0.71$2.35$0.120.78s33 tps
98.74%
48% off
$1.40$0.735$4.40$2.31$0.26$0.13651.29s56 tps
99.81%
47% off
$1.40$0.742$4.40$2.332$0.26$0.13784.81s30 tps
99.67%
$0.76$2.42$0.141.67s126 tps
99.17%
45% off
$1.40$0.77$4.40$2.42$0.26$0.1431.29s36 tps
99.13%
$0.8415$3.137$0.16832.73s9 tps
99.00%
$0.94$2.80$0.180.78s61 tps
97.44%
$0.966$3.036$0.19321.39s31 tps
99.98%
25% off
$1.40$1.05$4.40$3.30$0.26$0.1951.10s42 tps
99.91%
$1.10$3.75$0.200.69s42 tps
99.44%
15% off
$1.40$1.19$4.40$3.74$0.26$0.2212.14s58 tps
99.99%
$1.26$3.00$0.221.35s61 tps
99.75%
10% off
$1.40$1.26$4.40$3.96$0.26$0.2342.13s48 tps
99.97%
$1.40$4.40$0.261.31s70 tps
99.99%
$1.40$4.40$0.141.68s69 tps
99.97%
$1.40$4.40$0.140.93s102 tps
99.93%
$1.40$4.40$0.141.70s53 tps
99.86%
$1.40$4.40$0.141.49s49 tps
99.89%
$1.40$4.40$0.263.12s36 tps
99.97%
$1.40$4.40$0.210.86s75 tps
99.72%
$1.40$4.40$0.261.94s47 tps
99.85%
$1.40$4.40$0.261.09s58 tps
99.92%
$1.40$4.40$0.260.50s90 tps
98.76%
$1.40$4.40$0.260.90s41 tps
99.60%
$1.40$4.40$0.261.63s41 tps
99.53%
$1.40$4.40$0.260.66s79 tps
99.78%
$1.54$4.84$0.1540.42s5 tps
100.00%
$2.10$6.60$0.211.44s102 tps
99.98%
$2.10$6.60$0.210.79s91 tps
100.00%
$2.10$6.60$0.210.62s161 tps
97.39%
$2.10$6.60$0.211.02s103 tps
97.16%
$2.31$7.26$0.4621.35s41 tps
99.98%
$0.72$2.38$0.120.76s90 tps
98.15%

Throughput

161tok/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)

99.89%

Availability over the last 3 days

Last 72 hours
Availability 99.89%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.93%
Without Routing
95.27%

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.
Favicon for https://claude.ai/apple-touch-icon.png
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.
4.55Ttokens
2.
Favicon for https://nousresearch.com
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.
1.34Ttokens
3.
Favicon for https://www.gohighlevel.com/
schema-markup-generation
new
774Btokens
4.
Favicon for https://www.gohighlevel.com/
HighLevel
new
477Btokens
5.
Favicon for https://pi.dev/
pi
There are many coding agents, but this one is yours.
256Btokens

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 $0.4875/M input tokens and $1.56/M output tokens, with separate rates for Cache Read at $0.091/M tokens.

GLM 5.2 has a 1,048,576 token context window. It supports up to 163,840 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: DeepInfra, Sail Research, Ambient, Decart, Inceptron, Makora (fp8), StreamLake, NovitaAI 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.