Skip to content
OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Benchmarks
  • Apps
  • Discover
  • Models
  • Collections
  • Providers
  • Pricing
  • Enterprise
  • Labs

Company

  • About
  • Blog
  • Careers
    Hiring
  • Privacy
  • Terms of Service
  • Trust Center
  • Support
  • Works With OR
  • Data
  • Brand

Developer

  • Documentation
  • API Reference
  • Developer Platform
  • Status

Connect

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
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

70% off

$0.4186 / $1.316per 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
70% off
$1.40$0.4186$4.40$1.316$0.26$0.077742.55s35 tps
99.97%
70% off
$1.40$0.42$4.40$1.32$0.26$0.0781.56s45 tps
99.86%
65% off
$1.40$0.4872$4.40$1.531$0.26$0.090480.91s64 tps
99.76%
35% off
$0.75$0.4875$2.40$1.56$0.14$0.0911.09s62 tps
99.27%
$0.50$3.15$0.1151.27s24 tps
99.98%
$0.60$2.00$0.152.80s22 tps
96.63%
43% off
$1.20$0.684$4.00$2.28$0.20$0.1141.57s59 tps
96.79%
$0.70$2.20$0.1051.23s55 tps
99.49%
$0.76$2.42$0.140.57s148 tps
99.93%
33% off
$1.40$0.938$4.40$2.948$0.26$0.17422.78s49 tps
99.80%
$0.966$3.036$0.19321.56s29 tps
99.88%
25% off
$1.40$1.05$4.40$3.30$0.26$0.1952.49s32 tps
97.86%
$1.10$3.75$0.201.08s31 tps
99.82%
15% off
$1.40$1.19$4.40$3.74$0.26$0.2211.64s48 tps
99.99%
$1.25$2.99$0.220.57s40 tps
95.56%
$1.26$3.00$0.222.12s35 tps
99.77%
$1.40$4.40$0.142.13s40 tps
91.03%
$1.40$4.40$0.141.24s100 tps
98.35%
$1.40$4.40$0.142.33s56 tps
98.58%
$1.40$4.40$0.260.80s53 tps
95.59%
$1.40$4.40$0.141.18s50 tps
98.01%
$1.40$4.40$0.142.07s63 tps
98.40%
$1.40$4.40$0.261.20s59 tps
98.36%
$1.40$4.40$0.260.78s73 tps
99.91%
$1.40$4.40$0.260.37s80 tps
99.88%
$1.40$4.40$0.261.80s70 tps
99.89%
$1.40$4.40$0.262.90s47 tps
99.80%
$1.54$4.84$0.1541.98s47 tps
98.14%
$2.10$6.60$0.212.10s74 tps
98.46%
$2.10$6.60$0.211.13s118 tps
91.31%
$2.10$6.60$0.212.07s81 tps
98.56%
$2.10$6.60$0.211.40s90 tps
86.57%
$2.31$7.26$0.4621.57s35 tps
99.84%
$1.40$4.40$0.260.86s42 tps
98.15%

Throughput

148tok/s

P50, best across providers

Latency

0.37s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Fireworks Fast (US)
86.2%--
Ionstream
85.2%--
Wafer Fast
92.2%71.7%
Fireworks Fast
85.4%76.7%
Reka AI
90.5%71.1%
Makora
84.2%76.7%
Fireworks
86.1%74.0%
Wafer
83.2%73.8%
Makora
81.0%75.3%
+29 more providers
Uptime (3d)

100.00%

Availability (3d)

99.87%

Availability over the last 3 days

Last 72 hours
Availability 99.87%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.81%
Without Routing
92.05%

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.
4.2Ttokens
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.
1.2Ttokens
3.
Favicon for https://www.gohighlevel.com/
schema-markup-generation
new
758Btokens
4.
Favicon for https://www.gohighlevel.com/
HighLevel
new
745Btokens
5.
Favicon for https://pi.dev/
pi
There are many coding agents, but this one is yours.
233Btokens

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 $0.4186/M input tokens and $1.316/M output tokens, with separate rates for Cache Read at $0.07774/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 supports response_format for JSON output, without JSON-schema enforcement.

GLM 5.2 is served by 26 providers on OpenRouter: NovitaAI, StreamLake, Baidu Qianfan, DeepInfra, Sail Research, Ambient, Decart, DigitalOcean 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.