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Z.ai
z-ai/glm-4.7-flashLive here: A target on this deployment answers as this model and carried requests in the window.
Published by the vendor; the platform bills at the target's declared price.
Z.ai
GLM 4.7 Flash earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to MiniMax M3.1 Flash (free) instead - free per million input tokens against $0.06 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
3 targets run this model; traffic is measured over the last 30 days.
Photo: RDNE Stock project
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
A higher intelligence index, best first, with the price it comes at.
from openai import OpenAI
client = OpenAI(base_url="https://api.opensmartroute.ai/v1", api_key="osr_live_...")
resp = client.chat.completions.create(
model="llm-frontier", # the target on this deployment that runs GLM 4.7 Flash
messages=[{"role": "user", "content": "Summarise this in one sentence."}],
)
print(resp.model, resp.choices[0].message.content)Input list price per million tokens; GLM 4.7 Flash is the 4th cheapest of 13 listed.
Other models by the same vendor in the catalogue.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.