GLM-5.2 (max) Intelligence, Performance & Price Analysis
Model summary
IntelligenceUpdated
Speed
Price
Cache Hit Price
Verbosity
GLM-5.2 (max) is amongst the leading models in intelligence, but particularly expensive when comparing to other open weight models of similar size. It's also notably fast, however very verbose. The model supports text input, outputs text, and has a 1M tokens context window.
GLM-5.2 (max) scores 51 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 25). When evaluating the Intelligence Index, it generated 140M tokens, which is very verbose in comparison to the average of 92M.
Pricing for GLM-5.2 (max) is $1.40 per 1M input tokens (expensive, average: $0.43) and $4.40 per 1M output tokens (expensive, average: $1.25). In total, it cost $820.38 to evaluate GLM-5.2 (max) on the Intelligence Index.
At 215 tokens per second, GLM-5.2 (max) is notably fast (67).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 1M ~1500 A4 pages of size 12 Arial font |
| Total parameters | 753B |
| Active parameters | 40B Number of parameters active per token during inference |
| License | Mit |
| Model weights | Hugging Face |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
Highlights
IntelligenceUpdated
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000
Agentic tool use
Agentic coding & terminal use
Coding
Reasoning & knowledge
Scientific reasoning
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Agentic knowledge work, Elo
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Agentic SaaS workflows
Visual reasoning
AA-BriefcaseNew
AA-Briefcase Elo
AA-Omniscience
AA-Omniscience Index
Openness
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons
Intelligence vs. Cost per Intelligence Index Task
Token Use
Output Tokens per Intelligence Index Task
Price and Cost
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
Speed
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about GLM-5.2 (max)
GLM-5.2 (max) was released on June 16, 2026.
GLM-5.2 (max) was created by Z AI.
GLM-5.2 (max) scores 51 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 25).
GLM-5.2 (max) generates output at 215.1 tokens per second (based on the median across providers serving the model), which is well above average compared to other open weight models of similar size (median: 67.5 t/s).
GLM-5.2 (max) has a time to first token (TTFT) of 1.39s (based on the median across providers serving the model), which is very competitive compared to other open weight models of similar size (median: 2.01s).
GLM-5.2 (max) costs $1.40 per 1M input tokens (at the higher end, median: $0.59) and $4.40 per 1M output tokens (at the higher end, median: $2.20), based on the median across providers serving the model.
GLM-5.2 (max) costs $1.40 per 1M input tokens and $4.40 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.90 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, GLM-5.2 (max) generated 140M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 92M).
Yes, GLM-5.2 (max) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
GLM-5.2 (max) supports text input.
GLM-5.2 (max) supports text output.
No, GLM-5.2 (max) does not support image input. It can only process text.
No, GLM-5.2 (max) is not multimodal. It only supports text input.
GLM-5.2 (max) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Yes, GLM-5.2 (max) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
GLM-5.2 (max) has 753 billion parameters (40 billion active).
GLM-5.2 (max) is a Mixture of Experts (MoE) model with 753 billion total parameters, but only 40 billion active parameters are used during inference.
GLM-5.2 (max) is released under the Mit license. This license allows commercial use. View license
GLM-5.2 (max) achieves a score of 51 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, GLM-5.2 (max) is available via API through 16 providers. Compare API providers
GLM-5.2 (max) is available through 16 API providers. Compare providers