KI‑Modell‑Intelligenz

GLM-4.7-Flash

zai/glm-4-7-flash

Von Z.AI / Zhipu · Familie: glm-flash · veröffentlicht 2026-01-19 · Wissensstand: 2025-04

$0.060
Eingabe / 1 Mio. Tokens
$0.400
Ausgabe / 1 Mio. Tokens
200K
Kontextfenster
131K
Max. Ausgabe

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Fähigkeiten

✓ Tool Calling✓ Reasoning? Strukturierte Ausgabe✗ Anhänge✓ Offene Gewichte✓ Temperatur-Steuerung
Modalitäten: Eingabe text · Ausgabe text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding66
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)6/20
  • Provider availability10/10
Agents75
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output49
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency71
  • Headline price (log-scaled)71/95
  • Has prompt-cache pricing0/5
Long context55
  • Context window (100K → 2M)45/90
  • Has published price for full window10/10
Production-readiness96
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$0.50
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$1.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.32
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$0.88
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$0.96
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Preis-Details

Empfohlene Preise von deepinfra · zai-org/GLM-4.7-Flash

$0.060
Eingabe
$0.400
Ausgabe

Günstigster Anbieter: zai · Unknown Eingabe + Unknown Ausgabe

Bei 18 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
Z.AI
zai
glm-4.7-flashUnknownUnknown200K2026-01-19
Zhipu AI
zhipuai
glm-4.7-flashUnknownUnknown200K2026-01-19
Amazon Bedrock
amazon-bedrock
zai.glm-4.7-flash$0.070$0.400200K2026-01-19
OpenRouter
openrouter
z-ai/glm-4.7-flash$0.070$0.400200K2026-01-19
Vercel AI Gateway
vercel
zai/glm-4.7-flash$0.070$0.400200K2026-03-13
Deep Infra
deepinfra
zai-org/GLM-4.7-Flash$0.060$0.400203K2026-01-19
Hugging Face
huggingface
zai-org/GLM-4.7-FlashUnknownUnknown200K2025-08-08
NanoGPT
nano-gpt
TEE/glm-4.7-flash$0.150$0.500203K2026-01-19
NanoGPT
nano-gpt
zai-org/glm-4.7-flash$0.070$0.400200K2026-01-19
Jiekou.AI
jiekou
zai-org/glm-4.7-flash$0.070$0.400200K2026-01
NovitaAI
novita-ai
zai-org/glm-4.7-flash$0.070$0.400200K2026-01-19
Kilo Gateway
kilo
z-ai/glm-4.7-flash$0.060$0.400203K2026-01-19
Cloudflare AI Gateway
cloudflare-ai-gateway
workers-ai/@cf/zai-org/glm-4.7-flash$0.060$0.400131K2026-01-19
Venice AI
venice
zai-org-glm-4.7-flash$0.125$0.500128K2026-01-29
Synthetic
synthetic
hf:zai-org/GLM-4.7-Flash$0.060$0.400197K2026-01-18
Cortecs
cortecs
glm-4.7-flash$0.090$0.530203K2025-08-08
LLM Gateway
llmgateway
glm-4.7-flashUnknownUnknown200K2026-01-19
Cloudflare Workers AI
cloudflare-workers-ai
@cf/zai-org/glm-4.7-flash$0.060$0.400131K2026-01-19

Datenunterschiede zwischen Anbietern

  • context_window varies: 128000, 131072, 196608, 200000, 202752, 203000
  • release_date varies (span 217d): 2025-08-08, 2026-01, 2026-01-18, 2026-01-19, 2026-01-29, 2026-03-13

Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.

Frequently asked questions

How much does GLM-4.7-Flash cost?

GLM-4.7-Flash costs $0.060 per 1M input tokens and $0.400 per 1M output tokens, sourced from deepinfra. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of GLM-4.7-Flash?

GLM-4.7-Flash has a context window of 200K tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.

Does GLM-4.7-Flash support tool calling?

Yes. GLM-4.7-Flash supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does GLM-4.7-Flash support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for GLM-4.7-Flash in our data source. Verify with Z.AI / Zhipu's official documentation before relying on it in production.

Can GLM-4.7-Flash accept image input?

No. GLM-4.7-Flash only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is GLM-4.7-Flash open-weight?

Yes. GLM-4.7-Flash's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to GLM-4.7-Flash?

If GLM-4.7-Flash doesn't fit, consider GLM-5, GLM-4.7, GLM-5.1. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More Z.AI / Zhipu models

Capability lists this model is in

See also

Zuletzt aktualisiert:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.