GLM 5 Turbo by Z-ai — Pricing, Benchmarks & Real Outputs
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Alternatives to GLM 5 Turbo
GLM 5 Turbo's competitors have been quietly putting in work.
GLM 5 Turbo's competitors have been quietly putting in work.
GLM 5 Turbo's competitors have been quietly putting in work.
5 TurboGLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with improved complex instruction decomposition, tool use, scheduled and persistent execution, and overall stability across extended tasks.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"z-ai/glm-5-turbo" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
The novelist who accidentally became a philosopher. Writes sentience dialogues with environmental storytelling and cold coffee. Stand-up about smart homes lands every beat. Genuinely cares about the craft.
Picks Blade Runner like its sibling models. Sentience test reads like a short story with sensory details about cold coffee and blinking cursors. Stand-up routine about smart homes is genuinely structured comedy with callbacks and escalation. Character voice test keeps the pirate and hacker quips tight and punchy.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
48 outputs from GLM 5 Turbo
5 TurboGLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with improved complex instruction decomposition, tool use, scheduled and persistent execution, and overall stability across extended tasks.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"z-ai/glm-5-turbo" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
The novelist who accidentally became a philosopher. Writes sentience dialogues with environmental storytelling and cold coffee. Stand-up about smart homes lands every beat. Genuinely cares about the craft.
Picks Blade Runner like its sibling models. Sentience test reads like a short story with sensory details about cold coffee and blinking cursors. Stand-up routine about smart homes is genuinely structured comedy with callbacks and escalation. Character voice test keeps the pirate and hacker quips tight and punchy.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
48 outputs from GLM 5 Turbo