Skip to content
  • Models
  • Rankings
  • Ori
Sign Up
Sign Up
OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Benchmarks
  • Apps
  • Discover
  • Models
  • Collections
  • Providers
  • Pricing
  • Business
  • 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 5.3

z-ai/glm-5.3

Model weights
Compare

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.

Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

Modalities

In / Out Price

23% off

$1.085 / $3.41per 1M

Context

1.3M

Released

Aug 18, 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
23% off
$1.40$1.085$4.40$3.41$0.26$0.20153.37s38 tps
99.07%
22% off
$1.40$1.092$4.40$3.432$0.26$0.20281.23s38 tps
99.96%
20% off
$1.40$1.12$4.40$3.52$0.26$0.2081.66s55 tps
99.13%
$1.15$4.40$0.231.18s44 tps
98.02%
$1.17$3.96$0.2341.48s43 tps
99.68%
$1.17$3.96$0.2341.57s55 tps
97.54%
10% off
$1.30$1.17$4.40$3.96$0.26$0.2341.18s55 tps
99.65%
6% off
$1.25$1.175$4.40$4.136$0.26$0.24441.58s68 tps
99.67%
15% off
$1.40$1.19$4.40$3.74$0.23$0.19552.07s75 tps
94.99%
$1.19$4.40$0.261.27s84 tps
99.74%
$1.20$4.00$0.124.19s16 tps
96.23%
10% off
$1.40$1.26$4.40$3.96$0.26$0.2342.51s62 tps
99.99%
$1.35$4.40$0.230.78s243 tps
98.56%
$1.40$4.40$0.260.82s142 tps
99.24%
$1.40$4.40$0.261.18s47 tps
99.97%
$1.40$4.40$0.265.21s26 tps
98.44%
$1.40$4.40$0.263.59s29 tps
99.90%
$1.40$4.40$0.260.40s121 tps
96.02%
$1.40$4.40$0.261.38s46 tps
98.92%
$1.40$4.40$0.261.07s48 tps
98.31%
$1.40$4.40$0.260.77s78 tps
99.45%
$1.40$4.40$0.141.30s74 tps
98.56%
$1.40$4.40$0.261.00s63 tps
99.97%
$1.40$4.40$0.261.89s54 tps
99.37%
$1.40$4.40$0.266.20s39 tps
97.01%
$1.40$4.40$0.264.82s28 tps
99.84%
$1.75$5.50$0.3254.56s49 tps
97.62%
$2.10$6.60$0.211.27s113 tps
99.90%

Throughput

243tok/s

P50, best across providers

Latency

0.40s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Wafer
92.6%78.0%
DigitalOcean
90.6%79.3%
Crusoe
82.8%--
auto-routing
84.8%80.0%
Baseten
86.2%77.9%
Baseten
85.6%77.0%
+23 more providers
Uptime (3d)

100.00%

Availability (3d)

99.77%

Availability over the last 3 days

Last 72 hours
Availability 99.77%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.84%
Without Routing
96.17%

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://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.
494Btokens
2.
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.
413Btokens
3.
Favicon for https://pi.dev/
pi
There are many coding agents, but this one is yours.
221Btokens
4.
Favicon for https://omp.sh/
Oh-My-Pi
new
204Btokens
5.
Favicon for https://strix.ai/
Strix
new
198Btokens

Frequently asked questions

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency. Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

GLM 5.3 costs $1.085/M input tokens and $3.41/M output tokens, with separate rates for Cache Read at $0.2015/M tokens.

GLM 5.3 has a 1,310,720 token context window. It supports up to 128,000 completion tokens.

Yes. GLM 5.3 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

GLM 5.3 is served by 27 providers on OpenRouter: StreamLake, NovitaAI, GMICloud, Inceptron, Reka AI, Morph, AkashML, io.net and 19 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 5.3 was released on August 18, 2026.