{"slug": "glm-5-3-artificial-analysis-benchmarks", "title": "GLM-5.3 Artificial Analysis Benchmarks", "summary": "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.", "body_md": "# GLM-5.3 (max) Intelligence, Performance & Price Analysis\n\n### Model summary\n\n#### Speed\n\nGLM-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.\n\nGLM-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.\n\nPricing 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.\n\n| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |\n|---|---|\n| Input modality | Supports: text |\n| Output modality | Supports: text |\n| Context window | 1M ~1500 A4 pages of size 12 Arial font |\n\nMetrics are compared against models of the same class:\n\n- Non-reasoning models → compared only with other non-reasoning models\n- Reasoning models → compared across both reasoning and non-reasoning\n- Open weights models → compared only with other open weights models of the same size class:\n- Tiny: ≤4B parameters\n- Small: 4B–40B parameters\n- Medium: 40B–150B parameters\n- Large: >150B parameters\n- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:\n- <$0.15 per 1M tokens\n- $0.15–$1 per 1M tokens\n- >$1 per 1M tokens\n\nHighlights\n\n### Speed\n\n## Intelligence\n\n### Artificial Analysis Intelligence Index\n\n### Artificial Analysis Intelligence Index by Open Weights / Proprietary\n\n### Intelligence Evaluations\n\nAgentic real-world work tasks, (Elo-500)/2000\n\n[𝜏³-Banking](/evaluations/tau3-banking)Updated\n\nAgentic tool use\n\nAgentic coding & terminal use\n\nCoding\n\n[Humanity's Last Exam](/evaluations/humanitys-last-exam)Updated\n\nReasoning & knowledge\n\nScientific reasoning\n\nPhysics reasoning\n\n[AA-Omniscience Accuracy](/evaluations/omniscience)Updated\n\nKnowledge\n\n1 - hallucination rate\n\n[AA-LCR](/evaluations/artificial-analysis-long-context-reasoning)Updated\n\nLong context reasoning\n\nAgentic knowledge work, Elo\n\nAgentic SaaS workflows\n\nLegal agentic work, criterion pass rate\n\nAgentic business operations\n\nQuantitative analysis on spreadsheets & documents\n\nInstruction following\n\nLong-horizon agentic tasks\n\nKubernetes incident root-cause analysis\n\nVisual reasoning\n\n### AA-Omniscience\n\n### AA-Omniscience Index\n\n## Intelligence Index Comparisons\n\n### Intelligence Index vs. Cost per Intelligence Index Task\n\n## Token Use\n\n### Output Tokens per Intelligence Index Task\n\n## Cost\n\n### Cost per Intelligence Index Task\n\n### Cost to Run Artificial Analysis Intelligence Index\n\n### Pricing: Cache Hit, Input, and Output\n\n## Context Window\n\n### Context Window\n\n## Frequently Asked Questions\n\nCommon questions about GLM-5.3 (max)\n\nGLM-5.3 (max) was released on August 18, 2026.\n\nGLM-5.3 (max) was created by Z AI.\n\nGLM-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).\n\nGLM-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.\n\nGLM-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)\n\nWhen 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).\n\nYes, 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.\n\nGLM-5.3 (max) supports text input.\n\nGLM-5.3 (max) supports text output.\n\nNo, GLM-5.3 (max) does not support image input. It can only process text.\n\nNo, GLM-5.3 (max) is not multimodal. It only supports text input.\n\nGLM-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.\n\nNo, GLM-5.3 (max) is proprietary. The model weights are not publicly available.\n\nGLM-5.3 (max) has 753 billion parameters.\n\nGLM-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.\n\nYes, GLM-5.3 (max) is available via API through 1 provider. [Compare API providers](/models/glm-5-3/providers)\n\nGLM-5.3 (max) is available through 1 API provider. [Compare providers](/models/glm-5-3/providers)", "url": "https://wpnews.pro/news/glm-5-3-artificial-analysis-benchmarks", "canonical_source": "https://artificialanalysis.ai/models/glm-5-3", "published_at": "2026-08-18 22:06:10+00:00", "updated_at": "2026-08-18 22:41:14.803479+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-products"], "entities": ["Z AI", "GLM-5.3 (max)", "Artificial Analysis Intelligence Index"], "alternates": {"html": "https://wpnews.pro/news/glm-5-3-artificial-analysis-benchmarks", "markdown": "https://wpnews.pro/news/glm-5-3-artificial-analysis-benchmarks.md", "text": "https://wpnews.pro/news/glm-5-3-artificial-analysis-benchmarks.txt", "jsonld": "https://wpnews.pro/news/glm-5-3-artificial-analysis-benchmarks.jsonld"}}