GLM-5.2 NVFP4
hetzner/glm-5-2-nvfp4من hetzner · العائلة: glm · أُصدِر 2026-06-13
⚠ هذا نموذج مُحسَّن من المجتمع أو مشتق — وليس إصدارًا رسميًا من المزود.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
القدرات
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.
Coding85
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)14/20
- Provider availability1/10
Agents91
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
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 context65
- Context window (100K → 2M)65/90
- Has published price for full window0/10
Production-readiness30
- Number of independent providers5/40
- Has published per-token price0/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
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.
متاح لدى 1 مزود
| المزود | معرف نموذج المزود | إدخال / 1M | إخراج / 1M | السياق | تاريخ الإصدار |
|---|---|---|---|---|---|
| Hetzner hetzner | GLM-5.2-NVFP4 | Unknown | Unknown | 512K | 2026-06-13 |
Frequently asked questions
How much does GLM-5.2 NVFP4 cost?
GLM-5.2 NVFP4 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 hetzner's official pricing page for the most current rates.
What is the context window of GLM-5.2 NVFP4?
GLM-5.2 NVFP4 has a context window of 512K tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.
Does GLM-5.2 NVFP4 support tool calling?
Yes. GLM-5.2 NVFP4 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 NVFP4 support structured output / JSON mode?
Yes. GLM-5.2 NVFP4 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 NVFP4 accept image input?
No. GLM-5.2 NVFP4 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is GLM-5.2 NVFP4 open-weight?
Yes. GLM-5.2 NVFP4'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.
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
Capability lists this model is in
آخر تحديث:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.