GLM-5.3 Artificial Analysis Benchmarks Z AI's GLM-5.3 (max), released on August 18, 2026, scores 60 on the Artificial Analysis Intelligence Index, well above the median of 35 for comparable reasoning models, and costs $1.40 per 1M input tokens and $4.40 per 1M output tokens via Z AI's API. The model supports text input and output with a 1M token context window, and its evaluation generated 170M output tokens, costing $1,238.50 in total. GLM-5.3 max Intelligence, Performance & Price Analysis Model summary Speed GLM-5.3 max is amongst the leading models in intelligence and reasonably priced when comparing to other models of similar price. The model supports text input, outputs text, and has a 1M tokens context window. GLM-5.3 max scores 60 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models median: 35 . When evaluating the Intelligence Index, it generated 170M tokens, which is very verbose in comparison to the median of 72M. Pricing for GLM-5.3 max is $1.40 per 1M input tokens moderately priced, median: $1.75 and $4.40 per 1M output tokens moderately priced, median: $10.00 . In total, it cost $1238.50 to evaluate GLM-5.3 max on the Intelligence Index. | 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 | 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 Speed Intelligence Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index by Open Weights / Proprietary Intelligence Evaluations Agentic real-world work tasks, Elo-500 /2000 𝜏³-Banking /evaluations/tau3-banking Updated Agentic tool use Agentic coding & terminal use Coding Humanity's Last Exam /evaluations/humanitys-last-exam Updated Reasoning & knowledge Scientific reasoning Physics reasoning AA-Omniscience Accuracy /evaluations/omniscience Updated Knowledge 1 - hallucination rate AA-LCR /evaluations/artificial-analysis-long-context-reasoning Updated Long context reasoning Agentic knowledge work, Elo Agentic SaaS workflows Legal agentic work, criterion pass rate Agentic business operations Quantitative analysis on spreadsheets & documents Instruction following Long-horizon agentic tasks Kubernetes incident root-cause analysis Visual reasoning AA-Omniscience AA-Omniscience Index Intelligence Index Comparisons Intelligence Index vs. Cost per Intelligence Index Task Token Use Output Tokens per Intelligence Index Task Cost Cost per Intelligence Index Task Cost to Run Artificial Analysis Intelligence Index Pricing: Cache Hit, Input, and Output Context Window Context Window Frequently Asked Questions Common questions about GLM-5.3 max GLM-5.3 max was released on August 18, 2026. GLM-5.3 max was created by Z AI. GLM-5.3 max scores 60 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier median: 35 . GLM-5.3 max costs $1.40 per 1M input tokens better than average, median: $1.75 and $4.40 per 1M output tokens better than average, median: $10.00 , based on Z AI's API. GLM-5.3 max costs $1.40 per 1M input tokens and $4.40 per 1M output tokens based on Z AI's API . 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 /models/glm-5-3/providers When evaluated on the Intelligence Index, GLM-5.3 max generated 170M output tokens, which is at the higher end compared to other reasoning models in a similar price tier median: 72M . Yes, GLM-5.3 max is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. GLM-5.3 max supports text input. GLM-5.3 max supports text output. No, GLM-5.3 max does not support image input. It can only process text. No, GLM-5.3 max is not multimodal. It only supports text input. GLM-5.3 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. No, GLM-5.3 max is proprietary. The model weights are not publicly available. GLM-5.3 max has 753 billion parameters. GLM-5.3 max achieves a score of 60 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Yes, GLM-5.3 max is available via API through 1 provider. Compare API providers /models/glm-5-3/providers GLM-5.3 max is available through 1 API provider. Compare providers /models/glm-5-3/providers