---
title: "GLM 5.3 Prime AI model: facts and benchmarks | Kendr"
canonical: "https://kendr.org/models/z-ai-glm-5-3-prime"
date_modified: "2026-10-13"
profile_kind: "reference"
---

# GLM 5.3 Prime model profile

GLM 5.3 Prime is a Z.ai model profile with a 1,000,000-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.

GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It supports text input and output with a 1M-token context window and up to 128K output tokens, and targets coding and agentic workloads, including long-horizon multi-turn agent orchestration, real-time conversation, and streaming code generation. Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

GLM 5.3 Prime is a reference profile: Z.ai publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

GLM 5.3 Prime is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

GLM 5.3 Prime accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.

The dated reference snapshot lists $2.8 input and $8.8 output per million tokens. Cached input is $0.56 per million tokens.

No comparable third-party benchmark value is present in the 2026-10-13 snapshot. Missing values are not estimated.

GLM 5.3 Prime ranked #88 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-10-13 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

## Profile facts

- **Profile type:** Model research profile
- **Provider or publisher:** Z.ai
- **Context window:** 1,000,000 tokens
- **Snapshot date:** 2026-10-13
- **Knowledge cutoff:** Not disclosed
- **Reference catalog ID:** z-ai/glm-5.3-prime

## When to pick GLM 5.3 Prime

GLM 5.3 Prime is a reference profile: Z.ai publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-10-13 snapshot, compared only against models publishing the same field.

- Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
- Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
- Look elsewhere when the request is trivial and latency-sensitive. Reasoning is mandatory on this route and cannot be turned off, so short factual requests still pay reasoning tokens and reasoning latency.

## Context, modalities, and identity

GLM 5.3 Prime accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.

- **Provider or publisher:** Z.ai
- **Context window:** 1,000,000 tokens
- **Maximum output:** 131,072 tokens
- **Input modalities:** text
- **Output modalities:** text
- **Knowledge cutoff:** Not disclosed

## Model overview

GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It supports text input and output with a 1M-token context window and up to 128K output tokens, and targets coding and agentic workloads, including long-horizon multi-turn agent orchestration, real-time conversation, and streaming code generation. Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

- **Reference model ID:** z-ai/glm-5.3-prime
- **Canonical version:** z-ai/glm-5.3-prime-20260921
- **Hugging Face ID:** Not separately documented

## Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

- **Supported parameters:** frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, reasoning_effort, response_format, seed, stop, temperature, tool_choice, tools, top_k, top_logprobs, top_p

- prompt caching
- reasoning controls
- structured output
- text generation
- tool calling

## Dated pricing snapshot

The dated reference snapshot lists $2.8 input and $8.8 output per million tokens. Cached input is $0.56 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

- **Price date:** 2026-10-13
- **Input:** $2.8 per 1M tokens
- **Cached input:** $0.56 per 1M tokens
- **Output:** $8.8 per 1M tokens

## Provider routes, performance, and uptime

The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

- **Active provider endpoints:** 1
- **Best p50 latency:** 0.77 s
- **Best p50 throughput:** 72 tok/s
- **Availability with routing:** 99.56% over the sampled window
- **Availability without routing:** 99.56% over the sampled window
- **Performance date:** 2026-10-13

| Provider | Quantization | Input / 1M | Output / 1M | Cache read / 1M | Context | p50 latency | p50 throughput | Uptime (1d) |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Alibaba Cloud Int. | unknown | $2.8 / 1M | $8.8 / 1M | $0.56 / 1M | 1,000,000 tokens | 0.77 s | 72 tok/s | 100.00% |

## Benchmark evidence and limitations

No comparable third-party benchmark value is present in the 2026-10-13 snapshot. Missing values are not estimated.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

## Popularity and market context

GLM 5.3 Prime ranked #88 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

- **Third-party catalog rank:** #88
- **Global market share:** Not inferred
- **Observation date:** 2026-10-13

## Frequently asked questions

### When should I use GLM 5.3 Prime?

GLM 5.3 Prime is a reference profile: Z.ai publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr. Look elsewhere when the request is trivial and latency-sensitive: Reasoning is mandatory on this route and cannot be turned off, so short factual requests still pay reasoning tokens and reasoning latency.

### What is GLM 5.3 Prime?

GLM 5.3 Prime is a Z.ai model profile with a 1,000,000-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.

### What context window does GLM 5.3 Prime have?

The dated profile lists 1,000,000 tokens of context and up to 131,072 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

### What benchmark evidence is available for GLM 5.3 Prime?

No comparable third-party benchmark value is present in the 2026-10-13 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

### Is GLM 5.3 Prime available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

### Does the popularity rank represent GLM 5.3 Prime's global market share?

GLM 5.3 Prime ranked #88 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.

## Sources and evidence dates

- [GLM 5.3 Prime third-party catalog record](https://openrouter.ai/z-ai/glm-5.3-prime) — catalog, checked 2026-10-13
- [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-10-13
- [Z.ai official model documentation](https://docs.z.ai/guides/overview/overview) — primary, checked 2026-10-13

Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.
