GLM 4.7
Z.aiReleased Dec 22, 2025
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...
- Context window
- 203K tokens
- Max output
- 131K tokens
- Input
- text
- Output
- text
- Tokenizer
- Other
- Released
- Dec 22, 2025
- 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 | $0.400 | $0.012 | $0.412 |
| Output | $1.75 | $0.052 | $1.80 |
| Cache read | $0.080 | $0.0024 | $0.082 |
Benchmarks
Design Arena
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| androidnativeagents | 1127 | 56% | #18 |
| Full-stackagents | 1117 | 44.9% | #20 |
| godotgamedevagents | 1131 | 39.1% | #17 |
| Mobile appsagents | 1190 | 49.9% | #16 |
| 3Dmodels | 1268 | 54.4% | #26 |
| ASCII artmodels | 1213 | 48.3% | #18 |
| Codemodels | 1266 | 54.9% | #27 |
| Data vizmodels | 1239 | 51.5% | #32 |
| Game devmodels | 1254 | 55.1% | #30 |
| SVGmodels | 1201 | 54.5% | #29 |
| UI componentsmodels | 1250 | 50.8% | #30 |
| Websitesmodels | 1268 | 55.5% | #25 |
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.
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",
"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",
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",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does GLM 4.7 cost via API?
- Through OpenKey, GLM 4.7 costs $0.412 per 1M input tokens and $1.80 per 1M output tokens. That is the provider price ($0.400 / $1.75) plus a flat 3% fee — nothing else.
- What is GLM 4.7's context window?
- GLM 4.7 accepts up to 203K tokens of context and returns up to 131K tokens per request.
- Is GLM 4.7 OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "z-ai/glm-4.7" using any OpenAI SDK — only the base URL and API key change.
- What inputs does GLM 4.7 support?
- GLM 4.7 accepts text input and produces text output.
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