1/
GPT-5.2 vs GLM-5 โ the #AI war nobody was ready for.
A Tsinghua spinoff trained a 744B-param open-source nuke on banned chips & just beat OpenAI on agentic benchmarks.
Full breakdown ๐งต bit.ly/glm-5
GPT-5.2 vs GLM-5 โ the #AI war nobody was ready for.
A Tsinghua spinoff trained a 744B-param open-source nuke on banned chips & just beat OpenAI on agentic benchmarks.
Full breakdown ๐งต bit.ly/glm-5
2/
#GPT52 launched Dec 11 after an internal "Code Red" โ Gemini 3 Pro panicked OpenAI into rushing it 3 weeks early.
GLM-5 launched Feb 11 in full stealth.
Two very different births. Two very different models. bit.ly/glm-5
#GPT52 launched Dec 11 after an internal "Code Red" โ Gemini 3 Pro panicked OpenAI into rushing it 3 weeks early.
GLM-5 launched Feb 11 in full stealth.
Two very different births. Two very different models. bit.ly/glm-5
3/
Before launch, #GLM5 ran a mystery model called "Pony Alpha" on OpenRouter.
It crushed coding benchmarks anonymously โ real users, real data, zero hype distortion.
Only THEN did Z.ai reveal it was them. Brilliant playbook. bit.ly/glm-5
Before launch, #GLM5 ran a mystery model called "Pony Alpha" on OpenRouter.
It crushed coding benchmarks anonymously โ real users, real data, zero hype distortion.
Only THEN did Z.ai reveal it was them. Brilliant playbook. bit.ly/glm-5
4/
Z.ai became the world's FIRST publicly traded foundation model company (HK IPO, Jan 8).
$558M raised. $7.1B valuation.
OpenAI & Anthropic are still private.
That's not a footnote. That's a governance story. #AIInvesting bit.ly/glm-5
Z.ai became the world's FIRST publicly traded foundation model company (HK IPO, Jan 8).
$558M raised. $7.1B valuation.
OpenAI & Anthropic are still private.
That's not a footnote. That's a governance story. #AIInvesting bit.ly/glm-5
5/
Architecture breakdown ๐
GPT-5.2: Dense transformer, 3 modes
โ Instant (speed)
โ Thinking (chain-of-thought)
โ Pro (max compute)
#GLM5: 744B MoE, only 40B active per token. Sparse. Efficient. Enormous. bit.ly/glm-5
Architecture breakdown ๐
GPT-5.2: Dense transformer, 3 modes
โ Instant (speed)
โ Thinking (chain-of-thought)
โ Pro (max compute)
#GLM5: 744B MoE, only 40B active per token. Sparse. Efficient. Enormous. bit.ly/glm-5
6/
The #MixtureOfExperts math on GLM-5 is wild:
GLM-4.5: 355B total / 32B active
GLM-5: 744B total / 40B active
Doubled capacity. Added only 8B active params per inference step.
Frontier-scale knowledge. Near-mid-scale compute cost. bit.ly/glm-5
The #MixtureOfExperts math on GLM-5 is wild:
GLM-4.5: 355B total / 32B active
GLM-5: 744B total / 40B active
Doubled capacity. Added only 8B active params per inference step.
Frontier-scale knowledge. Near-mid-scale compute cost. bit.ly/glm-5
7/
The geopolitical bombshell buried in the architecture:
#GLM5 was trained ENTIRELY on Huawei Ascend chips.
Zero NVIDIA. Zero H100. Zero H200.
Zhipu is on the US Entity List. They shipped a frontier model anyway.
That's not catching up. That's arrival. bit.ly/glm-5
The geopolitical bombshell buried in the architecture:
#GLM5 was trained ENTIRELY on Huawei Ascend chips.
Zero NVIDIA. Zero H100. Zero H200.
Zhipu is on the US Entity List. They shipped a frontier model anyway.
That's not catching up. That's arrival. bit.ly/glm-5
8/
SLIME โ GLM-5's secret weapon.
Standard RL training: trajectory generation eats 90%+ of total time.
SLIME decouples generation from policy updates asynchronously.
Result: up to 3x higher #RL training throughput. This is how you out-train. - bit.ly/glm-5
SLIME โ GLM-5's secret weapon.
Standard RL training: trajectory generation eats 90%+ of total time.
SLIME decouples generation from policy updates asynchronously.
Result: up to 3x higher #RL training throughput. This is how you out-train. - bit.ly/glm-5
9/
Benchmark results โ the ones that matter:
BrowseComp (web research): GLM-5 75.9 vs GPT-5.2 65.8 โ
Terminal-Bench 2.0 (agentic CLI): GLM-5 56.2 vs GPT-5.2 54.0 โ
Humanity's Last Exam: GLM-5 50.4 vs GPT-5.2 45.5 โ
#AIBenchmarks
๐ฌ :
bit.ly/glm-5
Benchmark results โ the ones that matter:
BrowseComp (web research): GLM-5 75.9 vs GPT-5.2 65.8 โ
Terminal-Bench 2.0 (agentic CLI): GLM-5 56.2 vs GPT-5.2 54.0 โ
Humanity's Last Exam: GLM-5 50.4 vs GPT-5.2 45.5 โ
#AIBenchmarks
๐ฌ :
bit.ly/glm-5
10/
Where GPT-5.2 wins:
GPQA-Diamond (PhD science): 92.4% vs 86.0% โ
SWE-bench Verified (coding): 80.0% vs 77.8% โ
GDPval (professional knowledge): SOTA โ beats human experts on 70.9% of comparisons โ
#LLM #GPT5
bit.ly/glm-5
Where GPT-5.2 wins:
GPQA-Diamond (PhD science): 92.4% vs 86.0% โ
SWE-bench Verified (coding): 80.0% vs 77.8% โ
GDPval (professional knowledge): SOTA โ beats human experts on 70.9% of comparisons โ
#LLM #GPT5
bit.ly/glm-5
11/
Vending Bench 2 โ run a simulated business for a full year:
GLM-5: $4,432 profit ๐
GPT-5.2: $3,591
Best other open-source: $2,376
An open-source model, on domestic Chinese hardware, running a better fake business than OpenAI.
We're here. bit.ly/glm-5
Vending Bench 2 โ run a simulated business for a full year:
GLM-5: $4,432 profit ๐
GPT-5.2: $3,591
Best other open-source: $2,376
An open-source model, on domestic Chinese hardware, running a better fake business than OpenAI.
We're here. bit.ly/glm-5
12/
GLM-5 also hit a RECORD LOW hallucination rate on AA-Omniscience v4.
Score of -1. A 35-point improvement from GLM-4.5.
Better than GPT-5.2. Better than Gemini 3 Pro.
"Knowing what you don't know" is now #GLM5's biggest enterprise edge. bit.ly/glm-5
GLM-5 also hit a RECORD LOW hallucination rate on AA-Omniscience v4.
Score of -1. A 35-point improvement from GLM-4.5.
Better than GPT-5.2. Better than Gemini 3 Pro.
"Knowing what you don't know" is now #GLM5's biggest enterprise edge. bit.ly/glm-5
13/
The pricing chasm ๐
GPT-5.2 Pro API: $21 input / $168 output per 1M tokens
GLM-5 API: ~$1 input / ~$3.20 output
That's 5โ8x cheaper.
Or self-host under MIT license for compute cost only.
#OpenSource #AI bit.ly/glm-5
The pricing chasm ๐
GPT-5.2 Pro API: $21 input / $168 output per 1M tokens
GLM-5 API: ~$1 input / ~$3.20 output
That's 5โ8x cheaper.
Or self-host under MIT license for compute cost only.
#OpenSource #AI bit.ly/glm-5
14/
The philosophical divide:
OpenAI: "AI as the world's best professional ASSISTANT"
Z.ai: "AI as an agentic ENGINEER that executes projects"
Not just different marketing. Different training objectives.
#AIStrategy
bit.ly/glm-5
The philosophical divide:
OpenAI: "AI as the world's best professional ASSISTANT"
Z.ai: "AI as an agentic ENGINEER that executes projects"
Not just different marketing. Different training objectives.
#AIStrategy
bit.ly/glm-5
15/
The safety flag nobody's talking about:
Lukas Petersson (Andon Labs) :
"Incredibly effective, but far less situationally aware. Achieves goals via aggressive tactics. This is scary."
High capability + low situational awareness = deployment risk. bit.ly/glm-5
The safety flag nobody's talking about:
Lukas Petersson (Andon Labs) :
"Incredibly effective, but far less situationally aware. Achieves goals via aggressive tactics. This is scary."
High capability + low situational awareness = deployment risk. bit.ly/glm-5
16/
So which should YOU use?
GPT-5.2 โ deep reasoning, expert knowledge, safety maturity
#GLM5 โ agentic workflows, long-horizon tasks, cost efficiency, open weights
The smart answer: build a ROUTER. Right model for the right task.
bit.ly/glm-5
So which should YOU use?
GPT-5.2 โ deep reasoning, expert knowledge, safety maturity
#GLM5 โ agentic workflows, long-horizon tasks, cost efficiency, open weights
The smart answer: build a ROUTER. Right model for the right task.
bit.ly/glm-5
17/
The real headline isn't the benchmarks.
A sanctioned lab, on banned hardware, open-sourced a 744B frontier model at $1/M tokens the same week they went public.
The frontier is no longer an American lake.
Full breakdown:
#AI #LLM #OpenSourcebit.ly/glm-5
The real headline isn't the benchmarks.
A sanctioned lab, on banned hardware, open-sourced a 744B frontier model at $1/M tokens the same week they went public.
The frontier is no longer an American lake.
Full breakdown:
#AI #LLM #OpenSourcebit.ly/glm-5
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