GLM-5.3-Flash Intelligence, Performance and Price Analysis

Z AI released GLM-5.3-Flash on August 26, 2026, scoring 57 on the Artificial Analysis Intelligence Index, well above the median of 18 for comparable reasoning models. Priced at $0.15 per 1M input tokens and $0.50 per 1M output tokens, the model supports a 400k token context window and generated 150M output tokens during evaluation, costing $138.02 to test.

GLM-5.3-Flash Intelligence, Performance & Price Analysis Model summary Speed GLM-5.3-Flash is amongst the leading models in intelligence and well priced when comparing to other models of similar price. The model supports text input, outputs text, and has a 400k tokens context window. GLM-5.3-Flash scores 57 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models median: 18 . When evaluating the Intelligence Index, it generated 150M tokens, which is very verbose in comparison to the median of 64M. Pricing for GLM-5.3-Flash is $0.15 per 1M input tokens competitively priced, median: $0.25 and $0.50 per 1M output tokens competitively priced, median: $0.90 . In total, it cost $138.02 to evaluate GLM-5.3-Flash 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 | 400k ~600 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-Flash GLM-5.3-Flash was released on August 26, 2026. GLM-5.3-Flash was created by Z AI. GLM-5.3-Flash scores 57 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier median: 18 . GLM-5.3-Flash costs $0.15 per 1M input tokens very competitive, median: $0.25 and $0.50 per 1M output tokens very competitive, median: $0.90 , based on Z AI's API. GLM-5.3-Flash costs $0.15 per 1M input tokens and $0.50 per 1M output tokens based on Z AI's API . For a blended rate 7:2:1 cache hit/input/output ratio , this is $0.10 per 1M tokens. Pricing may vary by provider. Compare provider pricing /models/glm-5-3-flash/providers When evaluated on the Intelligence Index, GLM-5.3-Flash generated 150M output tokens, which is at the higher end compared to other reasoning models in a similar price tier median: 64M . Yes, GLM-5.3-Flash 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-Flash supports text input. GLM-5.3-Flash supports text output. No, GLM-5.3-Flash does not support image input. It can only process text. No, GLM-5.3-Flash is not multimodal. It only supports text input. GLM-5.3-Flash has a context window of 400k tokens. This determines how much text and conversation history the model can process in a single request. No, GLM-5.3-Flash is proprietary. The model weights are not publicly available. GLM-5.3-Flash is a proprietary model and Z AI has not disclosed the model size or parameter count. GLM-5.3-Flash achieves a score of 57 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Yes, GLM-5.3-Flash is available via API through 1 provider. Compare API providers /models/glm-5-3-flash/providers GLM-5.3-Flash is available through 1 API provider. Compare providers /models/glm-5-3-flash/providers