GLM-5.2 Highspeed
zai/glm-5-2-highspeed提供： Z.AI / Zhipu · ファミリー: glm · リリース 2026-06-13
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
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.
Coding92
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability2/10
Agents92
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability2/10
JSON / structured output80
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency0
- Has published price0/100
Long context80
- Context window (100K → 2M)80/90
- Has published price for full window0/10
Production-readiness50
- Number of independent providers10/40
- 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.
2 か所で利用可能
| プロバイダー | プロバイダーモデルID | 入力 / 1M | 出力 / 1M | コンテキスト | リリース日 |
|---|---|---|---|---|---|
| Zhipu AI Coding Plan zhipuai-coding-plan | glm-5.2-highspeed | Unknown | Unknown | 1M | 2026-06-13 |
| Z.AI Coding Plan zai-coding-plan | glm-5.2-highspeed | Unknown | Unknown | 1M | 2026-06-13 |
Frequently asked questions
How much does GLM-5.2 Highspeed cost?
GLM-5.2 Highspeed 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-5.2 Highspeed?
GLM-5.2 Highspeed has a context window of 1M tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.
Does GLM-5.2 Highspeed support tool calling?
Yes. GLM-5.2 Highspeed 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-5.2 Highspeed support structured output / JSON mode?
Yes. GLM-5.2 Highspeed supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can GLM-5.2 Highspeed accept image input?
No. GLM-5.2 Highspeed only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is GLM-5.2 Highspeed open-weight?
Yes. GLM-5.2 Highspeed'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-5.2 Highspeed?
If GLM-5.2 Highspeed doesn't fit, consider GLM-5.2, GLM-5.1, GLM-5. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. 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
最終更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.