Интерфейс моделей ИИ

GLM Z1 32B 0414

zai/glm-z1-32b-0414

От Z.AI / Zhipu · семейство: glm-z · выпуск 2025-04-18

$0.200
Вход / 1M токенов
$0.200
Выход / 1M токенов
128K
Окно контекста
66K
Макс. вывод

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

Возможности

Tool callingРассуждениеСтруктурированный выводВложенияОткрытые веса? Управление температурой
Модальности: вход text · выход 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.

Coding5
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability3/10
Agents18
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability3/10
JSON / structured output19
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control0/10
  • Price-friendly for high-volume19/20
Cost efficiency72
  • Headline price (log-scaled)72/95
  • Has prompt-cache pricing0/5
Long context45
  • Context window (100K → 2M)35/90
  • Has published price for full window10/10
Production-readiness73
  • Number of independent providers15/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers8/10
  • 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
$1.10
< $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
$2.20
< $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
$0.50
< $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
$1.80
< $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
$2.52
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Детализация цен

Рекомендованная цена от nano-gpt · THUDM/GLM-Z1-32B-0414

$0.200
Вход
$0.200
Выход

Доступна у 3 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
NanoGPT
nano-gpt
THUDM/GLM-Z1-32B-0414$0.200$0.200128K2025-04-15
SiliconFlow (China)
siliconflow-cn
THUDM/GLM-Z1-32B-0414$0.140$0.570131K2025-04-18
SiliconFlow
siliconflow
THUDM/GLM-Z1-32B-0414$0.140$0.570131K2025-04-18

Расхождения данных между провайдерами

  • context_window varies: 128000, 131000

Провайдеры сообщают разные значения для этой модели. Сводка выше использует репрезентативного провайдера; детали — в таблице.

Frequently asked questions

How much does GLM Z1 32B 0414 cost?

GLM Z1 32B 0414 costs $0.200 per 1M input tokens and $0.200 per 1M output tokens, sourced from nano-gpt. 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 Z1 32B 0414?

GLM Z1 32B 0414 has a context window of 128K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does GLM Z1 32B 0414 support tool calling?

No. GLM Z1 32B 0414 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does GLM Z1 32B 0414 support structured output / JSON mode?

No. GLM Z1 32B 0414 does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can GLM Z1 32B 0414 accept image input?

No. GLM Z1 32B 0414 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is GLM Z1 32B 0414 open-weight?

No. GLM Z1 32B 0414 is a proprietary model — only Z.AI / Zhipu (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to GLM Z1 32B 0414?

If GLM Z1 32B 0414 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.

More Z.AI / Zhipu models

Последнее обновление:

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.