GLM-4.5 X
llmgateway/glm-4-5-xPor llmgateway · familia: glm · lanzado 2025-07-28
⚠ Este es un ajuste fino de la comunidad o un derivado — no un lanzamiento oficial del editor.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
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.
Coding73
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents86
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit10/15
- Provider availability1/10
JSON / structured output80
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency41
- Headline price (log-scaled)36/95
- Has prompt-cache pricing5/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $15.45 $0.02 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 | $30.90 < $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 | $8.85 < $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 | $26.50 $0.03 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $31.74 $0.03 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalle de precios
Precio recomendado de llmgateway · glm-4.5-x
Disponible en 1 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| LLM Gateway llmgateway | glm-4.5-x | $2.20 | $8.90 | 128K | 2025-07-28 |
Frequently asked questions
How much does GLM-4.5 X cost?
GLM-4.5 X costs $2.20 per 1M input tokens and $8.90 per 1M output tokens, sourced from llmgateway. 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-4.5 X?
GLM-4.5 X has a context window of 128K tokens, with a max output of 16K tokens per reply. This is the total combined size of prompt + completion.
Does GLM-4.5 X support tool calling?
Yes. GLM-4.5 X 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 X support structured output / JSON mode?
Yes. GLM-4.5 X 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-4.5 X accept image input?
No. GLM-4.5 X only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is GLM-4.5 X open-weight?
No. GLM-4.5 X is a proprietary model — only llmgateway (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to GLM-4.5 X?
If GLM-4.5 X doesn't fit, consider Auto Route, Seed 1.6 Flash (250715), Seed 1.6 (250615). 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 llmgateway models
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- Seed 1.6 (250615)$0.25 in / $2.00 out
- Ministral 8B$0.15 in / $0.15 out
- Seed 1.8 (251228)$0.25 in / $2.00 out
Capability lists this model is in
Última actualización:
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.