Zhipu AI

Zhipu AI

GLM 4.7 Flash

GLM 4.7 Flash is a text-only model optimized for high-throughput, low-cost workloads with long context windows. Reach for it when you need fast, reliable processing of large documents or bulk chat tasks without paying premium rates.

Modalities

Text → Text

Below release

fp8

Weights

Published

zai-org/GLM-4.7-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#5/71

$0.081

output $0.54 · cached $0.0135

median $1.013 · best $0.0494

Price · output#10/70

$0.54

per 1M tokens generated

median $3.531 · best $0.218

Availability · 30d#1/54

100%

61 observations since 2026-05-02

median 99.9% · best 100.0%

Throughput#23/65

49 tok/s

probe median, one fixed prompt

median 35.7 tok/s · best 365.1 tok/s

Response time#56/65

5.17 s

probe median, to a complete answer

median 2.96 s · best 0.89 s

Context

203K

max output 65,536

published by Zhipu AI, not measured here

Tick above each rail is this model, below it the other 70. 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

#16

of 101 active models

Tokens served

53.5M

all-time

Platform share

1.2%

of all tokens

Tokens · last 14 daysSep 26 → Oct 9

Two clocks, and why they disagree

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

Probe · every 6h · 30 days

5.17s to answer

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

Observations
61
Answered by a substitute
0

Real traffic · last 7 days

3.38s to answer

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

Requests
47
Completed
100%
p95
20.0 s

Caching, as realised · last 7 days

0.2% of input cached

The share of input that actually hit cache, so the effective rate below is what was charged, not a best case.

Cached input
52
Fresh input
29.4K
List input
$0.081 /1M
Effective input
$0.080881 /1M

Production prompts here are shorter than the probe's. 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.

$0.081 /1M input$0.54 /1M output
Hobby10 req/day · 2K in / 500 out
~$0.13/mo
Production1,000 req/day · 2K in / 500 out
~$12.96/mo
Scale20,000 req/day · 2K in / 500 out
~$259/mo
+ Estimate your workload
1,000
2,000
500
30%

Estimated monthly cost

$11.75

$0.3915 / day on GLM 4.7 Flash

Same workload on:

GLM 5.2$122+943%
GLM 5.3$126+975%

Estimates use list pricing with cached input at this model's own cached rate. Actual bills depend on real token counts, and every response includes its exact cost.

When to use GLM 4.7 Flash

Updated 2026-07-29

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

Created by Zhipu, GLM 4.7 Flash is an efficient language model that handles up to 203,000 input tokens and generates up to 65,536 output tokens. It operates in the cheap cost and fast speed tiers on Kyma.

The model supports tool calling, reasoning, and structured outputs, and runs on Kyma's OpenAI-compatible API. Prompt caching is available, billing repeated prefixes at this model's cached input rate. Every response includes exact token costs in the usage.cost field, and the X-Kyma-Model header confirms the active model.

It processes text only and does not support vision or multimodal inputs. While optimized for speed and cost efficiency, it sits in the efficient quality tier, so highly complex analytical tasks may require a higher-tier alternative.

Bulk Document Processing

Parse and summarize large text files quickly at low cost.

High-Volume Chat Routing

Handle thousands of concurrent conversational requests with fast response times.

Automated Tool Execution

Run structured workflows and function calling across long conversation histories.

Log Analysis Pipelines

Ingest and categorize extensive text logs using structured JSON outputs.

Not ideal for: Do not use this model for tasks requiring image understanding, advanced creative writing, or highly complex multi-step reasoning where maximum accuracy is critical.

How it compares

Against the peers people actually weigh it against.

SpecGLM 4.7 FlashGLM 5.2GLM 5.3
Input /1M$0.081$1.101$1.178
Output /1M$0.54$3.76$3.702
Context203K1M1M
ToolsYesYesYes
ReasoningYesYesYes
Throughput49 tok/s73 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 4.7 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-4.7-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-4.7-flash",
        "stream": true,
        "messages": [{"role": "user", "content": "Hello!"}]
      }'

FAQ

Common questions about this model.

What is the context window of GLM 4.7 Flash?

GLM 4.7 Flash has a 203K-token context window — roughly 299 pages of text in a single request.

How much does the GLM 4.7 Flash API cost?

$0.081 per 1M input tokens and $0.54 per 1M output tokens, with cached input at $0.0135/1M — 83% off the input rate on repeated prompt prefixes. No subscription; you pay only for what you use.

Does GLM 4.7 Flash support function calling?

Yes — GLM 4.7 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 4.7 Flash publicly available?

Yes. Zhipu AI publishes GLM 4.7 Flash's weights as zai-org/GLM-4.7-Flash, so you can download and run the model yourself (https://huggingface.co/zai-org/GLM-4.7-Flash, read 2026-08-14). Kyma serves it because it is convenient and has failover behind it, not because it is the only way to reach it.

Is GLM 4.7 Flash ever served below the precision its creator released it at?

Sometimes. GLM 4.7 Flash was released by Zhipu AI at bf16 (https://huggingface.co/zai-org/GLM-4.7-Flash/blob/main/config.json, read 2026-08-14), and at least one route serving it here reports fp8 — narrower than that. Weights compressed below the release usually answer close to it, but it is not the identical artefact, and nothing in the response tells you which one answered. Kyma checked the routes on 2026-09-21, so it is your call rather than a silent one.

How do I use GLM 4.7 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-4.7-flash. Signing up is free and includes $0.50 of credit on the free tier, which covers this model — no card required.

Does this model support image inputs?

No, GLM 4.7 Flash is a text-only model. Use a multimodal model if you need to process images.

How does prompt caching affect my costs?

Kyma bills cached prompt prefixes at this model's cached input rate, which significantly reduces costs for repeated system prompts or long conversation histories.

What happens if the serving path degrades during a request?

Kyma automatically reroutes the request to a healthy serving path, ensuring your application maintains a high success rate without manual intervention.

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

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