GLM-4.5-Flash
zai/glm-4-5-flash제공: Z.AI / Zhipu · 패밀리: glm-flash · 출시 2025-07-28 · 지식 컷오프: 2025-04
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
Model fit scores
0–100 · higher is betterThese 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
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.
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.
3곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Z.AI zai | glm-4.5-flash | Unknown | Unknown | 131K | 2025-07-28 |
| Zhipu AI zhipuai | glm-4.5-flash | Unknown | Unknown | 131K | 2025-07-28 |
| LLM Gateway llmgateway | glm-4.5-flash | Unknown | Unknown | 131K | 2025-07-28 |
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
More Z.AI / Zhipu models
- GLM-5$1.00 in / $3.20 out
- GLM-4.7$0.60 in / $2.20 out
- GLM-5.1$1.40 in / $4.40 out
- GLM-4.6$0.60 in / $2.20 out
- GLM-4.7-Flash$0.06 in / $0.40 out
Capability lists this model is in
마지막 업데이트:
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.