glm-4.6v
novita/glm-4-6v出品方： novita · 系列: glm · 发布 2025-12-09 · 知识截止: 2025-04
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清单
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.
Coding54
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability2/10
Agents67
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability2/10
JSON / structured output38
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume18/20
Cost efficiency65
- Headline price (log-scaled)60/95
- Has prompt-cache pricing5/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Vision79
- Accepts image input50/50
- Context window (10K → 1M)17/30
- Has published price10/10
- Provider availability2/10
Production-readiness66
- Number of independent providers10/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- 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 | $1.95 < $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 | $3.90 < $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 | $1.05 < $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 | $3.30 < $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 | $4.14 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定价详情
推荐定价来自 llmgateway-providers · novita/glm-4.6v
在 2 家渠道可用
| 服务商 | 服务商模型 ID | 输入 / 1M | 输出 / 1M | 上下文 | 发布日期 |
|---|---|---|---|---|---|
| Poe poe | novita/glm-4.6v | Unknown | Unknown | 131K | 2025-12-09 |
| LLM Gateway llmgateway-providers | novita/glm-4.6v | $0.300 | $0.900 | 131K | 2025-12-08 |
各渠道数据存在不一致
- context_window varies: 131000, 131072
- modalities varies across offerings
各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值；逐项请以下表为准。
Frequently asked questions
How much does glm-4.6v cost?
glm-4.6v costs $0.300 per 1M input tokens and $0.900 per 1M output tokens, sourced from llmgateway-providers. 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?
glm-4.6v has a context window of 131K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does glm-4.6v support tool calling?
Yes. glm-4.6v 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 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for glm-4.6v in our data source. Verify with novita's official documentation before relying on it in production.
Can glm-4.6v accept image input?
Yes. glm-4.6v accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check novita's docs for the exact rule.
Is glm-4.6v open-weight?
No. glm-4.6v is a proprietary model — only novita (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?
If glm-4.6v doesn't fit, consider GLM-4.6, GLM-5, Kimi-K2.6. 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 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
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- glm-4.7$0.60 in / $2.20 out
- DeepSeek-V3.2$0.27 in / $0.40 out
Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.