GLM-4.6V-Flash
zai/glm-4-6v-flash제공: Z.AI / Zhipu · 패밀리: glm · 출시 2025-12-08 · 지식 컷오프: 2025-01-01
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
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.
Coding55
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability3/10
Agents66
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit13/15
- Provider availability3/10
JSON / structured output50
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency83
- Headline price (log-scaled)78/95
- Has prompt-cache pricing5/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Vision80
- Accepts image input50/50
- Context window (10K → 1M)17/30
- Has published price10/10
- Provider availability3/10
Production-readiness69
- Number of independent providers15/40
- 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 | $0.20 < $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 | $0.41 < $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 | $0.14 < $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 | $0.37 < $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 | $0.37 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: zenmux · z-ai/glm-4.6v-flash
가장 저렴한 제공자: llmgateway · Unknown 입력 + Unknown 출력
3곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Vercel AI Gateway vercel | zai/glm-4.6v-flash | Unknown | Unknown | 128K | 2025-09-30 |
| ZenMux zenmux | z-ai/glm-4.6v-flash | $0.020 | $0.210 | 200K | 2025-12-08 |
| LLM Gateway llmgateway | glm-4.6v-flash | Unknown | Unknown | 128K | 2025-12-08 |
제공자 간 데이터 불일치
- context_window varies: 128000, 200000
- release_date varies (span 69d): 2025-09-30, 2025-12-08
- modalities varies across offerings
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does GLM-4.6V-Flash cost?
GLM-4.6V-Flash costs $0.020 per 1M input tokens and $0.210 per 1M output tokens, sourced from zenmux. 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-4.6V-Flash?
GLM-4.6V-Flash has a context window of 128K tokens, with a max output of 24K tokens per reply. This is the total combined size of prompt + completion.
Does GLM-4.6V-Flash support tool calling?
Yes. GLM-4.6V-Flash 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-4.6V-Flash support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for GLM-4.6V-Flash in our data source. Verify with Z.AI / Zhipu's official documentation before relying on it in production.
Can GLM-4.6V-Flash accept image input?
Yes. GLM-4.6V-Flash 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-4.6V-Flash open-weight?
No. GLM-4.6V-Flash 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-4.6V-Flash?
If GLM-4.6V-Flash 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.
Explore more
More Z.AI / Zhipu models
- GLM-5$1.00 in / $3.20 out
- GLM-4.7$0.60 in / $2.20 out
- GLM-5.1$1.40 in / $4.40 out
- GLM-4.6$0.60 in / $2.20 out
- GLM-4.7-Flash$0.06 in / $0.40 out
Capability lists this model is in
마지막 업데이트:
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.