As a SOTA 30B-class model, GLM-4.7-Flash provides a new option that balances efficiency and performance. It has been further optimized for agentic coding scenarios, enhancing coding abilities, long-term task planning, and tool integration, and has demonstrated leading results among open-source models of its size on multiple current public benchmark leaderboards.
$0.0303market price $0.0605
$0.0303market price $0.0605
$0.20market price $0.40
How fast the model answers over every route we serve it from: throughput is tokens written per second, time to first token is how soon the answer starts, end-to-end latency is the whole request.
Share of requests served without a server error. Client errors (4xx) do not count.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
As a SOTA 30B-class model, GLM-4.7-Flash provides a new option that balances efficiency and performance.
On NagaAI, GLM 4.7 Flash costs $0.0303 per 1M input tokens and $0.20 per 1M output tokens. You pay only for what you use, with no subscription.
GLM 4.7 Flash reads up to 202.8k tokens in one request, counting the prompt and the answer together.
Yes. GLM 4.7 Flash can call your functions as tools and can answer in a JSON schema you give it.
It takes text as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
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