GLM 4.7 Flash
Z.aiReleased Jan 19, 2026
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,...
- Context window
- 203K tokens
- Max output
- 16K tokens
- Input
- text
- Output
- text
- Tokenizer
- Other
- Released
- Jan 19, 2026
- Reasoning
- optional
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.060 | $0.0018 | $0.062 |
| Output | $0.400 | $0.012 | $0.412 |
| Cache read | $0.010 | $0.0003 | $0.010 |
Benchmarks
Design Arena
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| 3Dmodels | 1197 | 51.2% | #45 |
| Codemodels | 1227 | 53.1% | #36 |
| Data vizmodels | 1167 | 45.3% | #61 |
| Game devmodels | 1200 | 49.7% | #48 |
| SVGmodels | 1096 | 44.2% | #52 |
| UI componentsmodels | 1263 | 57.6% | #26 |
| Websitesmodels | 1237 | 54% | #35 |
Head-to-head preference voting. How we filter and rank
Supported parameters
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model z-ai/glm-4.7-flash.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "z-ai/glm-4.7-flash",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="z-ai/glm-4.7-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "z-ai/glm-4.7-flash",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does GLM 4.7 Flash cost via API?
- Through OpenKey, GLM 4.7 Flash costs $0.062 per 1M input tokens and $0.412 per 1M output tokens. That is the provider price ($0.060 / $0.400) plus a flat 3% fee — nothing else.
- What is GLM 4.7 Flash's context window?
- GLM 4.7 Flash accepts up to 203K tokens of context and returns up to 16K tokens per request.
- Is GLM 4.7 Flash OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "z-ai/glm-4.7-flash" using any OpenAI SDK — only the base URL and API key change.
- What inputs does GLM 4.7 Flash support?
- GLM 4.7 Flash accepts text input and produces text output.
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