glm-4.7-flash
novita/glm-4-7-flashPor novita · lançado 2026-01-19
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.
Coding57
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)6/20
- Provider availability1/10
Agents66
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency0
- Has published price0/100
Long context45
- Context window (100K → 2M)45/90
- Has published price for full window0/10
Production-readiness45
- Number of independent providers5/40
- Has published per-token price0/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- 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.
This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.
Disponível em 1 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| Poe poe | novita/glm-4.7-flash | Unknown | Unknown | 200K | 2026-01-19 |
Frequently asked questions
How much does glm-4.7-flash cost?
glm-4.7-flash does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check novita's official pricing page for the most current rates.
What is the context window of glm-4.7-flash?
glm-4.7-flash has a context window of 200K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does glm-4.7-flash support tool calling?
Yes. glm-4.7-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-4.7-flash support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for glm-4.7-flash in our data source. Verify with novita's official documentation before relying on it in production.
Can glm-4.7-flash accept image input?
No. glm-4.7-flash only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is glm-4.7-flash open-weight?
No. glm-4.7-flash 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-4.7-flash?
If glm-4.7-flash doesn't fit, consider Kimi-K2.5, glm-4.7, GLM-5. 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.