GLM 5.2 Tops Open Models at 51 on AA Index

What is GLM 5.2 and what did it score?

GLM 5.2 is an open-weight mixture-of-experts language model from Chinese AI company Zhipu AI, released on June 13, 2026. It scores 51 on the Artificial Analysis Intelligence Index v4.1 — the highest score among all open-weight models. That puts it ahead of Google's Gemini 3.1 Pro Preview (46) and Gemini 3.5 Flash (50), according to MLQ.ai.

The model has 744 billion total parameters and 40 billion active parameters per token. Its context window is one million tokens — four times larger than its predecessor. Maximum output per response is 131,072 tokens.

How does GLM 5.2 cut compute costs?

GLM 5.2 introduces a technique called IndexShare. It reuses the same indexer across every four sparse attention layers. Zhipu says this cuts per-token compute by about 2.9 times at full context length.

Via OpenRouter, the model costs $1.40 per million input tokens and $4.40 per million output tokens. That compares to $5/$30 for GPT-5.5 and $5/$25 for Claude Opus.

How does GLM 5.2 compare to other models on benchmarks?

On SWE-bench Pro, GLM 5.2 scores 62.1 versus Claude Opus 4.8's 69.2 — a seven-point gap that narrows to roughly one percentage point on long-horizon coding tasks, per MLQ.ai.

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How did GLM 5.2 perform on the CyBT-CTF cybersecurity benchmark?

Researchers at Louie.ai tested GLM 5.2 on the CyBT-CTF, a cheating-resistant agentic cybersecurity investigation benchmark. GLM 5.2 achieved a 28/59 solve rate — matching Claude Opus 4.7 and 4.8 on the same benchmark, according to Graphistry.

The next-best open model, MiniMax 2.5, scored only 16/59. Western open model GPT-open-120B scored 12/59. Graphistry noted that Claude Opus 4.8 runs 19% faster than OpenCode/GLM 5.2, but costs 2.2 times more for the same results.

Graphistry also flagged a concern: GLM 5.2's correct and incorrect answers are highly correlated with both GPT-5.5 and Opus 4.8. Cohen's Kappa scores of 0.80 and 0.76 respectively — compared to 0.63 between OpenAI and Anthropic — led the researchers to ask whether GLM 5.2 may be the result of model distillation from frontier providers. Anthropic had previously reported that Chinese-origin model companies were attempting distillation attacks, though Zhipu was not named in that report.

Here's what we know so far: the distillation question remains open, and Graphistry has flagged it as a warning, not a confirmed finding.

What US export control action hit Anthropic on the same day?

The US government issued an export-control directive on June 12, 2026. It ordered Anthropic to disable access to Fable 5 and Mythos 5 — its two most advanced models — for all foreign nationals. The cutoff took effect at 5:21 p.m. ET.

The directive cited a discovered jailbreak method that bypassed safeguards on Mythos's advanced cybersecurity capabilities. Anthropic complied but pushed back publicly. The company stated the jailbreak was narrow and that "the same jailbreak could be used to elicit similar capabilities from other publicly available models, including OpenAI's GPT-5.5, that are not subject to similar national security export controls." Access to all other Anthropic models remained unaffected.

This situation connects to broader US government AI policy — including Trump's EO on AI model access — and raises questions about how export controls apply unevenly across frontier providers. It also adds context to Anthropic's salary disclosures, which showed heavy reliance on foreign-national talent that would now be cut off from the company's top models.

Zhipu released GLM 5.2 under MIT license on the same day. The company stated: "frontier intelligence should not belong to only a few people, nor be subject to withdrawal by a handful of rules at any moment." The model ships with native support for over 20 agent tools, including Claude Code, Cline, and Cursor.

How did markets react to GLM 5.2?

Knowledge Atlas Technology (HKEX: 2513), Zhipu's Hong Kong-listed parent company, surged as much as 48% on the announcement day. The stock closed up 32.8% at HK$1,457. It later reached an all-time high of HK$2,980 on June 22 before pulling back.

The stock has gained roughly 820% since its January 2026 IPO. Its market cap now exceeds HK$1 trillion, or about $130 billion.

• JPMorgan raised its price target on Knowledge Atlas from HK$950 to HK$1,400
• Macquarie maintained a Buy rating
• CLSA issued a Hold rating on June 23

The stock's rise follows a broader pattern of investor attention to open-source AI infrastructure — similar to moves seen around OpenAI's GPT-5.6 rollout and Oracle's AI-driven restructuring.

Where can developers access GLM 5.2?

The model weights are available on Hugging Face and ModelScope under MIT license. Developers can self-host, fine-tune, and use GLM 5.2 commercially with no restrictions and no regional locks. API access is available via OpenRouter at $1.40 per million input tokens.