Zhipu AI

GLM-4.7 — Benchmark Scores, Pricing & Performance Analysis

OPEN SOURCEZhipu AI
Input Cost
$0.40/1M
Output Cost
$1.8/1M
Context Window
205K
Max Output
131K
Knowledge Cutoff
Apr 2025
Accepts
text

GLM-4.7 by Zhipu AI demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

Coding Benchmarks

Design Arena ELO
121039th of 120

Human preference ELO for building things — websites, UI, games, charts, SVG

Design Arena (via OpenRouter)
AA Coding Index
45.353rd of 96

Artificial Analysis composite coding score

Artificial Analysis (via OpenRouter)
Website Arena ELO
123839th of 108

Human preference ELO for building a working web page from a brief

Design Arena (via OpenRouter)

Reasoning Benchmarks

GPQA Diamond
83.2%50th of 140

Graduate-level science Q&A by domain experts

Papers
τ²-Bench Airline
73.0%37th of 93

Multi-turn service agent making tool calls under strict policy constraints

OpenRouter (measured)

Cost Benchmarks

Input Cost
$0.40227th of 413

Cost per 1M input tokens

OpenRouter API
Output Cost
$1.8234th of 413

Cost per 1M output tokens

OpenRouter API
Cached Input Cost
$0.0860th of 136

Cost per 1M cached input tokens — the price that actually applies to a long agent conversation

OpenRouter API

Context Benchmarks

Context Length
205K177th of 451

Maximum context window size

OpenRouter API

Available from 36 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 8 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
Alibaba Coding Plan$0$0$0203K
Alibaba Coding Plan (China)$0$0$0203K
KUAE Cloud Coding Plan$0$0$0205K
Z.AI Coding Plan$0$0$0205K
Zhipu AI Coding Plan$0$0$0205K
Meganova$0.2$0.8203K
NanoGPT$0.2$0.8$0.1200K
ZenMux$0.28$1.14$0.06200K
302.AI$0.286$1.142205K
DevPass (LLM Gateway)$0.38$1.98$0.19205K
Deep Infra$0.4$1.75$0.08203KSupported
Kilo Gateway$0.4$1.75$0.08203K
Ofox$0.4$2.2$0.11205K
OpenRouter$0.4$1.75$0.08205KSupported
DInference$0.45$1.65200K
CrossModel$0.47$2.16$0.1200K
Venice AI$0.55$2.65$0.11198K
Abacus$0.6$2.2205K
Amazon Bedrock$0.6$2.2205KSupported
Baseten$0.6$2.2$0.12200KSupported
Eden AI$0.6$2.2$0.11203K
Hugging Face$0.6$2.2$0.11205KSupported
Impossibl$0.6$2.2$0.11205K
Jiekou.AI$0.6$2.2205K
Merge Gateway$0.6$2.2$0.11200K
NovitaAI$0.6$2.2$0.11205K
OpenCode Zen$0.6$2.2$0.1205K
OrcaRouter$0.6$2.2$0.11205K
TensorX$0.6$2.2$0.15200K
Vercel AI Gateway$0.6$2.2$0.12200KSupported
Vertex$0.6$2.2$0.06200KSupported
Z.AI$0.6$2.2$0.11205K
Zhipu AI$0.6$2.2$0.11205KSupported
LLM Gateway$2.25$2.75200K
Moark$3.5$14205K
Poe205K

GLM-4.7 — Benchmark Scores Overview

Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).

GLM-4.7 — Frequently Asked Questions

How much does GLM-4.7 cost?

GLM-4.7 costs $0.40 per 1M input tokens and $1.8 per 1M output tokens. This makes it one of the more affordable models.

What is the context window of GLM-4.7?

GLM-4.7 has a context window of 205K tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created GLM-4.7?

GLM-4.7 was created by Zhipu AI. It is classified as a open source model in our catalogue.

Is GLM-4.7 open source?

Yes, GLM-4.7 is an open-source model. The model weights are publicly available for download and self-hosting.