GLM-4.7 (ByteDance)
llmgateway-providers/glm-4-7От llmgateway-providers · семейство: glm · выпуск 2025-12-22 · дата знаний: 2025-04
⚠ Это сообществом дообученная / производная модель — не официальный релиз вендора.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Возможности
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.
Coding58
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)6/20
- Provider availability2/10
Agents67
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability2/10
JSON / structured output44
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume14/20
Cost efficiency56
- Headline price (log-scaled)51/95
- Has prompt-cache pricing5/5
Long context55
- Context window (100K → 2M)45/90
- Has published price for full window10/10
Production-readiness55
- Number of independent providers10/40
- 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 | $4.10 < $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 | $8.20 < $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 | $2.30 < $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 | $7.00 < $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 | $8.52 < $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 llmgateway-providers · bytedance/glm-4.7
Доступна у 2 провайдеров
| Провайдер | ID модели провайдера | Вход / 1M | Выход / 1M | Контекст | Выпуск |
|---|---|---|---|---|---|
| LLM Gateway llmgateway-providers | bytedance/glm-4.7 | $0.600 | $2.20 | 200K | 2025-12-22 |
| LLM Gateway llmgateway-providers | cerebras/glm-4.7 | $2.25 | $2.75 | 200K | 2025-12-22 |
Frequently asked questions
How much does GLM-4.7 (ByteDance) cost?
GLM-4.7 (ByteDance) costs $0.600 per 1M input tokens and $2.20 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-4.7 (ByteDance)?
GLM-4.7 (ByteDance) has a context window of 200K tokens, with a max output of 128K tokens per reply. This is the total combined size of prompt + completion.
Does GLM-4.7 (ByteDance) support tool calling?
Yes. GLM-4.7 (ByteDance) 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-4.7 (ByteDance) support structured output / JSON mode?
No. GLM-4.7 (ByteDance) 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-4.7 (ByteDance) accept image input?
No. GLM-4.7 (ByteDance) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is GLM-4.7 (ByteDance) open-weight?
Yes. GLM-4.7 (ByteDance)'s weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to GLM-4.7 (ByteDance)?
If GLM-4.7 (ByteDance) doesn't fit, consider GPT OSS 20B (Together AI), InclusionAI Ling 3.0 Flash (DeepInfra), Hy3 (DeepInfra). 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
More llmgateway-providers models
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- InclusionAI Ling 3.0 Flash (DeepInfra)$0.06 in / $0.18 out
- Hy3 (DeepInfra)$0.14 in / $0.58 out
- Cosmos 3 Super Reasoner (Nebius AI)$0.10 in / $0.30 out
- Hermes 4 70B (Nebius AI)$0.13 in / $0.40 out
Capability lists this model is in
Последнее обновление:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.