GLM-5V-Turbo
zai/glm-5v-turboPor Z.AI / Zhipu · família: glm · lançado 2026-04-01
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.
Coding66
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)6/20
- Provider availability10/10
Agents75
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output40
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume10/20
Cost efficiency50
- Headline price (log-scaled)45/95
- Has prompt-cache pricing5/5
Long context55
- Context window (100K → 2M)45/90
- Has published price for full window10/10
Vision90
- Accepts image input50/50
- Context window (10K → 1M)20/30
- Has published price10/10
- Provider availability10/10
Production-readiness94
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers4/10
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $8.00 < $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 | $16.00 < $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 | $4.40 < $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 | $13.60 $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 | $16.80 $0.02 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalhes de preço
Preço recomendado de zai · glm-5v-turbo
Provedor mais barato: zai-coding-plan · Unknown entrada + Unknown saída
Disponível em 11 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| Z.AI zai | glm-5v-turbo | $1.20 | $4.00 | 200K | 2026-04-01 |
| Z.AI Coding Plan zai-coding-plan | glm-5v-turbo | Unknown | Unknown | 200K | 2026-04-01 |
| Zhipu AI Coding Plan zhipuai-coding-plan | glm-5v-turbo | Unknown | Unknown | 200K | 2026-04-01 |
| Zhipu AI zhipuai | glm-5v-turbo | $5.00 | $22.00 | 200K | 2026-04-01 |
| Vercel AI Gateway vercel | zai/glm-5v-turbo | $1.20 | $4.00 | 200K | 2026-04-01 |
| 302.AI 302ai | glm-5v-turbo | $0.720 | $3.20 | 200K | 2026-04-02 |
| ZenMux zenmux | z-ai/glm-5v-turbo | $0.726 | $3.19 | 200K | 2026-04-01 |
| Kilo Gateway kilo | z-ai/glm-5v-turbo | $1.20 | $4.00 | 203K | 2026-04-01 |
| Venice AI venice | z-ai-glm-5v-turbo | $1.50 | $5.00 | 200K | 2026-04-01 |
| AIHubMix aihubmix | glm-5v-turbo | $0.704 | $3.10 | 200K | 2026-05-09 |
| SiliconFlow siliconflow | zai-org/GLM-5V-Turbo | $1.20 | $4.00 | 200K | 2026-04-01 |
Inconsistências de dados entre provedores
- context_window varies: 200000, 202752
- release_date varies (span 38d): 2026-04-01, 2026-04-02, 2026-05-09
- modalities varies across offerings
Os provedores reportam valores diferentes para este modelo. Os dados rápidos acima usam um provedor representativo; consulte a tabela para detalhes por provedor.
Frequently asked questions
How much does GLM-5V-Turbo cost?
GLM-5V-Turbo costs $1.20 per 1M input tokens and $4.00 per 1M output tokens, sourced from zai. 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-5V-Turbo?
GLM-5V-Turbo has a context window of 200K tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.
Does GLM-5V-Turbo support tool calling?
Yes. GLM-5V-Turbo 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-5V-Turbo support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for GLM-5V-Turbo in our data source. Verify with Z.AI / Zhipu's official documentation before relying on it in production.
Can GLM-5V-Turbo accept image input?
Yes. GLM-5V-Turbo accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Z.AI / Zhipu's docs for the exact rule.
Is GLM-5V-Turbo open-weight?
No. GLM-5V-Turbo 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-5V-Turbo?
If GLM-5V-Turbo 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.
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Capability lists this model is in
Última atualização:
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.