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

22% off

$1.092 / $3.432per 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
22% off
$1.40$1.092$4.40$3.432$0.26$0.20281.98s44 tps
99.98%
21% off
$1.40$1.113$4.40$3.498$0.26$0.20672.32s43 tps
99.39%
20% off
$1.40$1.12$4.40$3.52$0.26$0.2082.18s26 tps
99.02%
$1.17$3.96$0.2341.57s49 tps
99.79%
$1.17$3.96$0.2341.44s48 tps
99.05%
10% off
$1.30$1.17$4.40$3.96$0.26$0.2341.69s71 tps
98.59%
5% off
$1.25$1.188$4.40$4.18$0.26$0.2470.97s58 tps
99.96%
15% off
$1.40$1.19$4.40$3.74$0.23$0.19550.83s92 tps
99.89%
$1.19$4.40$0.260.37s95 tps
99.96%
$1.25$4.40$0.261.30s52 tps
97.41%
10% off
$1.40$1.26$4.40$3.96$0.26$0.2340.91s120 tps
99.99%
$1.35$4.40$0.231.17s149 tps
99.10%
$1.40$4.40$0.262.21s6 tps
99.17%
$1.40$4.40$0.261.94s41 tps
100.00%
$1.40$4.40$0.263.65s30 tps
97.95%
$1.40$4.40$0.261.97s45 tps
99.95%
$1.40$4.40$0.260.45s104 tps
96.95%
$1.40$4.40$0.261.09s66 tps
98.15%
$1.40$4.40$0.260.74s97 tps
99.55%
$1.40$4.40$0.141.35s78 tps
98.53%
$1.40$4.40$0.261.45s65 tps
99.97%
$1.40$4.40$0.261.52s90 tps
99.70%
$1.40$4.40$0.264.95s32 tps
99.90%
$1.40$4.40$0.263.99s33 tps
99.87%
$1.75$5.50$0.3253.17s76 tps
99.30%
$2.10$6.60$0.211.59s93 tps
99.90%
$1.20$4.00$0.122.10s36 tps
97.36%
$1.40$4.40$0.261.52s40 tps
96.22%

Throughput

149tok/s

P50, best across providers

Latency

0.37s

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)

99.76%

Availability over the last 3 days

Last 72 hours
Availability 99.76%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.77%
Without Routing
95.94%

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.
488Btokens
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.
402Btokens
3.
Favicon for https://pi.dev/
pi
There are many coding agents, but this one is yours.
216Btokens
4.
Favicon for https://omp.sh/
Oh-My-Pi
new
201Btokens
5.
Favicon for https://strix.ai/
Strix
new
194Btokens

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 $1.092/M input tokens and $3.432/M output tokens, with separate rates for Cache Read at $0.2028/M tokens.

GLM 5.3 has a 1,310,720 token context window. It supports up to 131,072 completion tokens.

Yes. GLM 5.3 accepts tools and tool_choice for function calling. It supports response_format for JSON output, without JSON-schema enforcement.

GLM 5.3 is served by 27 providers on OpenRouter: NovitaAI, StreamLake, GMICloud, Reka AI, Morph, AkashML, io.net, Decart 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.