GLM-5.2

Zhipu AIMCP Tool CallReasoning

zhipuai/glm-5.2Open Weights

Open flagship GLM for long-horizon coding agents and million-token context work

Benchmark Pricing$1.20 / 1M in$4.18 / 1M out$0.30 cache read

Context: 1,000,000 tokens•Max Output: 131,072 tokens•Released: 2026-06-13

TECHNICAL SPECIFICATIONS

Context Window1,000,0001M tokens

Max Output131,072131.1K tokens

LicenseOpen SourceSelf-hostable

Input Modalities

Text

Function / Tool CallingSupported (MCP Ready)

Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ GLM-5.2 natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.

MCP Context Window Recommendations

With a context capacity of 1,000,000 tokens, this model can handle extremely large MCP resource manifests, complete database schemas, and multiple active server tool definitions simultaneously without degradation.

STANDARDIZED BENCHMARKS & EVALS

SWE-Bench Proresolve rate

62.1

Terminal-Benchsuccess rate

82.7

FrontierSWEdominance

74.4

Humanity's Last Examaccuracy

40.5

Humanity's Last Examaccuracy

54.7

CritPtaccuracy

20.9

AIMEaccuracy

99.2

HMMTaccuracy

94.4

HMMTaccuracy

92.5

IMOAnswerBenchaccuracy

GPQA Diamondaccuracy

91.2

NL2Reporesolve rate

48.9

DeepSWEresolve rate

46.2

Program Benchscore

63.7

Terminal-Benchsuccess rate

PostTrainBenchscore

34.3

SWE Marathonresolve rate

MCP Atlasscore

76.8

Tool-Decathlonscore

48.2

API CALL INVOCATION EXAMPLE

// Example: Calling GLM-5.2 via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.ZHIPUAI_API_KEY,
});

const response = await client.chat.completions.create({
  model: "zhipuai/glm-5.2",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

console.log(response.choices[0].message.content);