Ai Tools — 2026-06-29

🚨 AI Tool Alert — June 29, 2026

GLM-5.2 — MIT-Licensed 744B Coding Model Beats Claude Code on Security Vuln Detection

Z.ai (Zhipu AI) released GLM-5.2: 744B parameters, MIT license, 1M-token context. Semgrep's independent benchmark (June 28) shows it outperforming Claude Code on IDOR detection.

The benchmarks:

• GLM-5.2: 39% F1 on IDOR detection (vs. Claude Code at 32%)


• Terminal-Bench 2.1: 81.0 (top open-weight, vs. GLM-5.1 at 63.5)


• SWE-bench Pro: 62.1


• Cost: ~$0.17/vulnerability via OpenRouter (vs. $5-15+ for closed-model agents)

Why devs should care:

• MIT = no strings attached — full commercial use, self-host, fine-tune freely


• Cheaper security at scale — run AI security reviews on every PR, not quarterly audits


• Self-hostable — compliance teams (HIPAA, SOC2, GDPR) can keep data on-prem


• 1M-token context — feed it entire repos, not individual files

Quick start — PR security scanner:

from openai import OpenAI
client = OpenAI(base_url="http://localhost:8000/v1")

response = client.chat.completions.create(
    model="glm-5.2",
    messages=[
        {"role": "system", "content": "Analyze this code diff for IDOR, injection, and auth bypass vulnerabilities. Return JSON findings."},
        {"role": "user", "content": diff_text}
    ],
    temperature=0.1
)

Pricing: $1.20/M input, $4.10/M output on OpenRouter
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