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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

65% off

$0.4872 / $1.531per 1M

Context

1.0M

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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AI Model RankingsRanking
65% off
$1.40$0.4872$4.40$1.531$0.26$0.090481.02s56 tps
99.85%
35% off
$0.75$0.4875$2.40$1.56$0.14$0.0912.08s21 tps
98.38%
60% off
$1.40$0.56$4.40$1.76$0.26$0.1041.51s44 tps
98.93%
$0.60$2.00$0.151.20s41 tps
96.99%
51% off
$1.40$0.6832$4.40$2.147$0.26$0.12692.00s50 tps
99.93%
$0.70$2.20$0.1051.70s21 tps
98.73%
$0.76$2.42$0.140.72s103 tps
99.86%
33% off
$1.40$0.938$4.40$2.948$0.26$0.17423.02s43 tps
99.77%
$0.966$3.036$0.19321.06s44 tps
99.90%
$1.099$2.935$0.1794.11s10 tps
98.41%
15% off
$1.40$1.19$4.40$3.74$0.26$0.2212.05s32 tps
97.97%
$1.26$3.00$0.222.02s44 tps
99.83%
$1.40$4.40$0.141.18s88 tps
99.91%
$1.40$4.40$0.141.26s85 tps
99.87%
$1.40$4.40$0.142.15s66 tps
99.99%
$1.40$4.40$0.260.42s68 tps
92.71%
$1.40$4.40$0.141.01s64 tps
99.46%
$1.40$4.40$0.141.69s69 tps
99.93%
$1.40$4.40$0.261.46s76 tps
99.71%
$1.40$4.40$0.263.89s30 tps
99.20%
$1.40$4.40$0.260.78s78 tps
99.56%
$1.40$4.40$0.260.40s76 tps
99.91%
$1.40$4.40$0.263.06s39 tps
100.00%
$1.40$4.40$0.263.57s40 tps
99.82%
$1.54$4.84$0.1542.47s83 tps
99.96%
$2.10$6.60$0.211.03s160 tps
99.77%
$2.10$6.60$0.211.78s68 tps
99.98%
$2.10$6.60$0.211.07s123 tps
99.92%
$2.10$6.60$0.211.70s70 tps
99.98%
$2.10$6.60$0.210.93s92 tps
99.94%
$2.25$7.88$0.560.71s90 tps
100.00%
$2.31$7.26$0.4621.09s69 tps
99.97%

Throughput

160tok/s

P50, best across providers

Latency

0.40s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-BenchReka90.7%71.1%Makora84.2%76.7%Fireworks Fast (US)85.9%74.5%Venice88.0%72.3%Sail Research85.0%74.7%Fireworks86.3%71.9%Makora81.0%75.3%Fireworks Fast85.1%69.7%
+28 more providers
Uptime (3d)The model was reachable. Request routed to a provider.

100.00%

Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.

99.94%

Availability over the last 3 days

Last 72 hours
Availability 99.94%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.93%
Without Routing
95.01%

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.
2.3Ttokens
2.
Favicon for https://www.gohighlevel.com/
HighLevel
new
1.09Ttokens
3.
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.
837Btokens
4.
Favicon for https://pi.dev/
pi
There are many coding agents, but this one is yours.
181Btokens
5.
Favicon for https://openclaw.ai/
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.
146Btokens

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 $0.4872/M input tokens and $1.531/M output tokens, with separate rates for Cache Read at $0.09048/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 23 providers on OpenRouter: Baidu Qianfan (fp4), DeepInfra, StreamLake, Ambient, NovitaAI, DigitalOcean, CoreWeave, AtlasCloud and 15 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.