Zhipu AI

Zhipu AI

GLM 5.3 Flash

Zhipu's newest Flash — MIT-licensed, multimodal, latency/cost-optimized successor to GLM 4.7 Flash. ~1.3M context, vision.

Modalities

Text+Image → Text

Below release

Not established

Weights

Published

zai-org/GLM-5.3-Flash

Where it sits in the catalogue Kyma measures

Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.

Price · input#5/70

$0.101

output $0.338

median $0.977 · best $0.0494

Price · output#5/70

$0.338

per 1M tokens generated

median $3.4515 · best $0.2164

Availability · 30d#55/70

89.12%

294 observations since 2026-08-30

median 93.9% · best 100.0%

Throughput#51/70

30 tok/s

probe median, one fixed prompt

median 39.4 tok/s · best 314.0 tok/s

Response time#39/70

2.64 s

probe median, to a complete answer

median 2.45 s · best 0.84 s

Context

1.31M

max output 65,536

published by Zhipu AI, not measured here

Tick above each rail is this model, below it the other 69. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.

Usage

How much this model is actually called here.

Rank

#29

of 117 active models

Tokens served

7.3M

all-time

Platform share

0.2%

of all tokens

Tokens · last 15 daysAug 26Sep 9

How it behaves under real clients

The same model answering different prompt shapes — measured, not benchmarked.

ClientRequestsTokensThroughputTo first tokenp95 totalCompleted
Node.js App1096.2M20 tok/s8.07 s127 s72.5%

Grouped by the client that sent the request. Not a benchmark: the same model on different prompt shapes. Throughput and time-to-first-token are medians; p95 is the slowest response in twenty. 1 client under 100 requests not shown.

Two clocks, and why they disagree

Kyma measures this model twice. Both are real; they answer different questions.

Probe · every 6h · 30 days

2.64s to answer

One fixed prompt, on a schedule, to every model. Comparable, because the model is the only thing that changes.

Observations
294
Answered by a substitute
20

Real traffic · last 7 days

8.99s to answer

Your requests, at the lengths clients actually send. Not comparable between models, but it is what running this one feels like.

Requests
187
Completed
72.7%
p95
100.3 s

The gap is prompt length, not the model degrading. Use the probe figure to choose between models, the traffic figure to budget for your own.

Pricing

Pay per token. Cached input bills at this model’s own cached rate, listed below.

$0.101$0.203 /1M input$0.338$0.675 /1M output
50% off· ends Sep 9Returns to $0.203 /1M input and $0.675 /1M output on Sep 9.
Hobby10 req/day · 2K in / 500 out
~$0.11/mo
Production1,000 req/day · 2K in / 500 out
~$11.13/mo
Scale20,000 req/day · 2K in / 500 out
~$223/mo
+ Estimate your workload
1,000
2,000
500

Estimated monthly cost

$11.13

$0.3710 / day on GLM 5.3 Flash

Same workload on:

GLM 5.2$122+1000%
GLM 5.3$203+1719%

Estimates use list pricing. Actual bills depend on real token counts, and every response includes its exact cost.

How it compares

Against the peers people actually weigh it against.

SpecGLM 5.3 FlashGLM 5.2GLM 5.3
Input /1M$0.101$1.101$1.89
Output /1M$0.338$3.76$5.94
Context1M1M1M
ToolsYesYesYes
ReasoningYesYesYes
Throughput30 tok/s81.5 tok/s32 tok/s

Quick start

Up and running in under two minutes.

  1. 1

    Create an API key

    Sign up and grab a key from the dashboard — $0.50 free credit on the free tier, which covers GLM 5.3 Flash. No card required.

    Get API key →
  2. 2

    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-5.3-flash",
        "messages": [
          {"role": "user", "content": "Explain prompt caching in one paragraph."}
        ]
      }'
  3. 3

    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-5.3-flash",
        "stream": true,
        "messages": [{"role": "user", "content": "Hello!"}]
      }'

FAQ

Common questions about this model.

What is the context window of GLM 5.3 Flash?

GLM 5.3 Flash has a 1M-token context window — roughly 1928 pages of text in a single request.

How much does the GLM 5.3 Flash API cost?

$0.101 per 1M input tokens and $0.338 per 1M output tokens (on offer until Sep 9, then $0.203/$0.675). No subscription; you pay only for what you use.

Does GLM 5.3 Flash support function calling?

Yes — GLM 5.3 Flash supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

Are the weights for GLM 5.3 Flash publicly available?

Yes. Zhipu AI publishes GLM 5.3 Flash's weights as zai-org/GLM-5.3-Flash, so you can download and run the model yourself (https://huggingface.co/zai-org/GLM-5.3-Flash, read 2026-09-04). Kyma serves it because it is convenient and has failover behind it, not because it is the only way to reach it.

Is GLM 5.3 Flash ever served below the precision its creator released it at?

Kyma cannot say. Answering it needs the precision Zhipu AI released GLM 5.3 Flash in, and we could not source that from Zhipu AI's own material — so there is nothing to compare a route against. We publish "not established" rather than reading a low format as a downgrade: on several models in this catalogue a low format is exactly how the creator ships it.

How do I use GLM 5.3 Flash?

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-5.3-flash. Signing up is free and includes $0.50 of credit on the free tier, which covers this model — no card required.

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

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