GLM-5.2 turned a routine-looking model release into a market event. On June 15, Zhipu AI's Hong Kong-listed shares jumped as much as 48% intraday to HK$1,620 and closed up 32.8% at HK$1,457.
The stock is now up roughly 820% since Zhipu's IPO in early January. JPMorgan raised its price target to HK$1,400 and kept an overweight rating, and Bank of America started coverage at buy. A version bump does not usually move a company like that. This one did.
The dollar figures put it in perspective. The day before GLM-5.2 shipped, Z.AI's listed shares were worth around $60 billion. The launch added close to $20 billion in a single session and lifted the company to roughly $80 billion, about the size of Airbnb. The easiest yardstick is Coinbase, worth about $42 billion in mid-June 2026: GLM-5.2 took Z.AI from roughly one and a half Coinbases to nearly two in a single day. A coding-model release is now moving a company the size of a US tech blue chip.
Why the stock moved
GLM-5.2 is Z.AI's new flagship coding model, and two things made its launch a market story rather than a footnote.
First, it is open source, released under the MIT license with a 1-million-token context window and a focus on long-horizon agentic coding. It extends a lineage that has been closing on the closed frontier: GLM-5 scored 77.8% on SWE-bench Verified, and each release since has narrowed the gap. Because the weights are downloadable, the capability cannot be revoked.
Second, the timing. GLM-5.2 arrived the same weekend a US export-control order forced Anthropic to disable its two most powerful models, Claude Fable 5 and Mythos 5, for every user. One frontier vendor went dark by government directive. An open model with a frontier-class context window showed up at roughly a tenth of the price of Anthropic's top Claude Code and Max tiers. Investors read that as Chinese open models stepping into the gap, and re-rated the company that ships them.
Whether the rally holds is a question for the market. The more useful question for a developer is narrower: is the model behind it actually good on your code? You do not have to buy the stock to find out.
Try GLM-5.2 free on Token Station
GLM-5.2 is live on Token Station as glm-coding/glm-5.2, with the full 1M-token context, at Z.AI's list price and zero markup.
It is free to start. Register and you get $10 in credit, with no card and no Z.AI account or Coding Plan subscription to set up. Point the coding tools you already use at glm-coding/glm-5.2 and run your real work through it.
Claude Code
Claude Code reads its model and endpoint from environment variables. Route every tier through Token Station to GLM-5.2:
export ANTHROPIC_BASE_URL="https://models.bytefuture.ai"
export ANTHROPIC_AUTH_TOKEN="gw-YOUR_TOKEN_STATION_KEY"
export ANTHROPIC_DEFAULT_OPUS_MODEL="glm-coding/glm-5.2"
export ANTHROPIC_DEFAULT_SONNET_MODEL="glm-coding/glm-5.2"
export ANTHROPIC_DEFAULT_HAIKU_MODEL="glm-coding/glm-5.2"
export CLAUDE_CODE_SUBAGENT_MODEL="glm-coding/glm-5.2"
claudeCodex
Configure Token Station as the provider and make GLM-5.2 the model:
mkdir -p ~/.codex
cat > ~/.codex/config.toml <<'EOF'
model = "glm-coding/glm-5.2"
model_provider = "token_station"
[model_providers.token_station]
name = "token_station"
base_url = "https://models.bytefuture.ai/v1"
env_key = "TOKEN_STATION_API_KEY"
wire_api = "responses"
EOF
export TOKEN_STATION_API_KEY="gw-YOUR_TOKEN_STATION_KEY"
codexOpenClaw
Register Token Station as a provider and set GLM-5.2 as the default model:
{
"models": {
"mode": "merge",
"providers": {
"token-station": {
"baseUrl": "https://models.bytefuture.ai/v1",
"apiKey": "${TOKEN_STATION_API_KEY}",
"api": "anthropic-messages",
"models": [
{
"id": "glm-coding/glm-5.2",
"name": "GLM-5.2 (Token Station)",
"contextWindow": 1000000,
"maxTokens": 131072
}
]
}
}
},
"agents": {
"defaults": {
"model": { "primary": "token-station/glm-coding/glm-5.2" }
}
}
}One key, the harness you already run, and the model the market just re-rated. If GLM-5.2 holds up on your repository, a free signup is all it costs to find out. If it does not, you change one line of config and move on.
Start here: models.bytefuture.ai