Zhipu AI

GLM 5.2

Name: GLM 5.2
Brand: Zhipu AI
Price: 1.459 USD
Availability: InStock

Zhipu's newest frontier-open flagship on Kyma — the model the glm-flagship alias now resolves to — a 744B-parameter mixture-of-experts model with a 1M-token context window, built for long-horizon agentic coding.

Modalities

Text → Text

Input

$1.459 /1M

Output

$4.984 /1M

Cached input

$0.1459 /1M90% off

Context

Speed

medium

Performance

Live production data from real requests on Kyma — not synthetic benchmarks.

Rank

#20

of 87 active models

Tokens served

8.6M

all-time

Success rate

100%

last 7 days

Median throughput75 tok/s

Total requests742

Platform share0.4%

Tokens · last 15 daysJul 19 → Aug 2

Top apps using this model

1OpenCode1.9M tok

2Go App1.6M tok

Public apps sending the most traffic to this model — a signal of what real workloads it fits.

Pricing

Pay per token. Cached input is billed at 10% of the input rate.

$1.459 /1M input$4.984 /1M output

Hobby10 req/day · 2K in / 500 out

~$1.62/mo

Production1,000 req/day · 2K in / 500 out

~$162/mo

Scale20,000 req/day · 2K in / 500 out

~$3,246/mo

+ Estimate your workload

Requests / day1,000

Input tokens / request2,000

Output tokens / request500

Cache hit rate30%

Estimated monthly cost

$139

$4.62 / day on GLM 5.2

Same workload on:

GLM 5.1$203+46%

GLM 4.5 Air$27.78-80%

Estimates use list pricing with cached input billed at the 90%-discount rate. Actual bills depend on real token counts — every response includes its exact cost.

When to use GLM 5.2

Updated 2026-06-19

Where this model earns its cost — and where it doesn't.

GLM 5.2 is the flagship of Zhipu's GLM line on Kyma and where the `glm-flagship` alias points. Released in June 2026 under the permissive MIT license, it is a mixture-of-experts model with roughly 744B total parameters and ~40B active per token, positioned squarely at coding and agentic workloads.

On the independent Intelligence Index v4.1 it scores 51 — the highest of any open-weight model, ahead of DeepSeek V4 Pro, MiniMax-M3, and Kimi K2.6, and ahead of several leading closed models. Through Kyma every call routes with automatic failover across multiple serving paths, so a degraded provider never surfaces as an error, and you reach it with the same OpenAI-compatible key as every other model.

The headline change over GLM 5.1 is context: the window grows from ~200K to a full 1M tokens, with output up to 131K. That holds an entire codebase plus an agent's working history in a single request. Function calling, structured outputs, and extended reasoning are all supported, and implicit prompt caching bills repeated prefixes at a steep discount — which matters for agents that resend a long system prompt on every step.

Long-horizon coding agents

Its core design target — multi-step SWE tasks where the agent reads, edits, tests, and iterates across a repository over a long session.

Whole-repository context

The 1M-token window lets an agent load a large codebase and its own history at once, instead of paging context in and out.

Complex reasoning

Extended reasoning mode works through debugging, architecture decisions, and multi-constraint planning before committing to an answer.

Tool-calling pipelines

Function calling plus structured outputs keep multi-step agent loops parseable and on schema, step after step.

Not ideal for: Image inputs (it's text-only) or latency-sensitive chat UX — it's a medium-speed, premium-priced model that earns its cost on deep agentic work, not quick interactive replies.

How it compares

Against the peers people actually weigh it against.

Spec	GLM 5.2	GLM 5.1	GLM 4.5 Air
Input /1M	$1.459	$1.89	$0.176
Output /1M	$4.984	$5.94	$1.148
Context	1M	203K	131K
Tools	Yes	Yes	Yes
Reasoning	Yes	Yes	Yes
Speed	medium	medium	fast

Quick start

Up and running in under two minutes.

1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit, no card required.
Get API key →

Make your first request

Drop in your key and send a chat completion — fully OpenAI-compatible.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.2",
    "messages": [
      {"role": "user", "content": "Explain prompt caching in one paragraph."}
    ]
  }'

Stream responses

Add "stream": true to receive tokens as they arrive.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.2",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

FAQ

Common questions about this model.

What is the context window of GLM 5.2?

GLM 5.2 has a 1M-token context window — roughly 1471 pages of text in a single request.

How much does the GLM 5.2 API cost?

$1.459 per 1M input tokens and $4.984 per 1M output tokens, with cached input at $0.1459/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does GLM 5.2 support function calling?

Yes — GLM 5.2 supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

How do I use GLM 5.2?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to glm-5.2. Signing up is free and includes $0.50 of credit — no card required.

How is GLM 5.2 different from GLM 5.1?

GLM 5.2 expands the context window from ~200K to 1M tokens, raises max output to 131K, and tops the open-weight Intelligence Index. It's the newer flagship, so the glm-flagship alias now resolves to it; GLM 5.1 stays available by its own model ID.

What is the glm-flagship alias?

Kyma aliases let you write integrations that don't hardcode a model ID. Sending model glm-flagship currently resolves to GLM 5.2, and the X-Kyma-Model header on every response tells you exactly which model ran.

Why run GLM 5.2 through Kyma?

One API key and one OpenAI-compatible endpoint cover this and every other model on the platform. You get automatic failover when a serving path degrades, prompt caching discounts on repeated prefixes — a big deal for agents resending long system prompts — exact per-request cost in usage.cost, and $0.50 free credit to try it with no card.

Start with $0.50 free credit — no card required.Create account →

More models by Zhipu AI

Model	Context	Input	Output
GLM 5.1	203K	$1.89	$5.94
GLM 4.7 Flash	203K	$0.081	$0.54
GLM 4.5 Air	131K	$0.176	$1.148