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GLM-4.5-Flash

zai/glm-4-5-flash

Par Z.AI / Zhipu · famille: glm-flash · sorti 2025-07-28 · fin de connaissance: 2025-04

Inconnu
Entrée / 1M jetons
Inconnu
Sortie / 1M jetons
131K
Fenêtre de contexte
98K
Sortie max

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

Capacités

✓ Tool calling✓ Raisonnement? Sortie structurée✗ Pièces jointes✓ Poids ouverts✓ Contrôle de température
Modalités: entrée text · sortie 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.

Coding55
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)2/20
  • Provider availability3/10
Agents68
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability3/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context36
  • Context window (100K → 2M)36/90
  • Has published price for full window0/10
Production-readiness55
  • Number of independent providers15/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)15/15

Cost Efficiency Index

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

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Disponible chez 3 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
Z.AI
zai
glm-4.5-flashUnknownUnknown131K2025-07-28
Zhipu AI
zhipuai
glm-4.5-flashUnknownUnknown131K2025-07-28
LLM Gateway
llmgateway
glm-4.5-flashUnknownUnknown131K2025-07-28

Frequently asked questions

How much does GLM-4.5-Flash cost?

GLM-4.5-Flash does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check Z.AI / Zhipu's official pricing page for the most current rates.

What is the context window of GLM-4.5-Flash?

GLM-4.5-Flash has a context window of 131K tokens, with a max output of 98K tokens per reply. This is the total combined size of prompt + completion.

Does GLM-4.5-Flash support tool calling?

Yes. GLM-4.5-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-4.5-Flash support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for GLM-4.5-Flash in our data source. Verify with Z.AI / Zhipu's official documentation before relying on it in production.

Can GLM-4.5-Flash accept image input?

No. GLM-4.5-Flash only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is GLM-4.5-Flash open-weight?

Yes. GLM-4.5-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-4.5-Flash?

If GLM-4.5-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

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Capability lists this model is in

See also

Dernière mise à jour :

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.