# GLM-5.3-Flash Intelligence, Performance and Price Analysis > Source: > Published: 2026-08-26 14:58:54+00:00 # 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)