{"slug": "gpt-6-1-terra-max-scores-48-on-artificial-analysis", "title": "GPT-6.1 Terra (Max) Scores 48 on Artificial Analysis", "summary": "OpenAI's GPT-6.1 Terra (Max), released October 26, 2026, scored 48 on the Artificial Analysis Intelligence Index, well above the median of 28 for models in its price tier, according to Artificial Analysis. The reasoning model accepts text and image input, outputs text, carries a 1M-token context window, and is priced at $1.00 per 1M input tokens and $5.00 per 1M output tokens, versus medians of $2.00 and $10.00. Evaluating GPT-6.1 Terra (Max) on the index generated 130M tokens, above the 81M median, at an average cost of $0.40 per task.", "body_md": "# GPT-6.1 Terra (Max) Intelligence, Performance & Price Analysis\n\n### Model summary\n\n#### Speed\n\nGPT-6.1 Terra (Max) is amongst the leading models in intelligence and well priced when comparing to other models of similar price. The model supports text and image input, outputs text, and has a 1M tokens context window.\n\nGPT-6.1 Terra (Max) scores 48 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 28). When evaluating the Intelligence Index, it generated 130M tokens, which is somewhat verbose in comparison to the median of 81M.\n\nPricing for GPT-6.1 Terra (Max) is $1.00 per 1M input tokens (competitively priced, median: $2.00) and $5.00 per 1M output tokens (moderately priced, median: $10.00). On average, it costs $0.40 per task to evaluate GPT-6.1 Terra (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 and image | \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\n### Speed\n\n## Intelligence\n\n### [Artificial Analysis Intelligence Index](https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index)\n\n### Artificial Analysis Intelligence Index by Open Weights / Proprietary\n\n### Intelligence Index vs. Cost per Task\n\nMeasures the performance of models on specific capabilities and industries\n\n### [Artificial Analysis Finance & Accounting Index](https://artificialanalysis.ai/indexes/finance-and-accounting)\n\n### Evaluations\n\nAgentic knowledge work, Elo\n\nKnowledge\n\n1 - hallucination rate\n\nAgentic SaaS workflows\n\nAgentic real-world work tasks, Elo\n\nReasoning & knowledge\n\nProfessional document reasoning, All-pass\n\nAgentic coding & terminal use\n\nLong context reasoning\n\n[SciCode](https://artificialanalysis.ai/evaluations/scicode)Under review\n\nCoding\n\nPhysics reasoning\n\nAgentic scientific research workflows in a terminal\n\nAgentic software engineering in open-source repositories\n\nQuantitative analysis on spreadsheets & documents\n\n[Harvey LAB-AA v1.1](https://artificialanalysis.ai/evaluations/harvey-lab-aa)Updated\n\nLegal agentic work, Hallucination-Gated All-Pass Rate\n\nAgentic business operations\n\n[AA-3D](https://artificialanalysis.ai/evaluations/aa-3d)New\n\nAgentic interactive 3D experiences, Elo\n\nProduct and brand videos designed in code, Elo\n\nKubernetes incident root-cause analysis\n\n[MLCR-AA](https://artificialanalysis.ai/evaluations/mlcr-aa)Updated\n\nMedical long context reasoning\n\nVisual reasoning\n\nRich, varied, well-crafted language\n\nWell-structured, scannable, answer-first\n\nTruthful, acknowledges uncertainty, non-sycophantic\n\nUse of filler and generic language\n\n### AA-Briefcase v1.1\n\n### AA-Briefcase Elo\n\n### AA-Omniscience\n\n### AA-Omniscience Index\n\n## Intelligence Index Comparisons\n\n### Intelligence Index vs. Cost per 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 GPT-6.1 Terra (Max)\n\nGPT-6.1 Terra (Max) was released on October 26, 2026.\n\nGPT-6.1 Terra (Max) was created by OpenAI.\n\nGPT-6.1 Terra (Max) scores 48 on the Artificial Analysis Intelligence Index, placing it well above average among other models in a similar price tier (median: 28).\n\nGPT-6.1 Terra (Max) costs $1.00 per 1M input tokens (very competitive, median: $2.00) and $5.00 per 1M output tokens (better than average, median: $10.00), based on OpenAI's API.\n\nGPT-6.1 Terra (Max) costs $1.00 per 1M input tokens and $5.00 per 1M output tokens (based on OpenAI's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.73 per 1M tokens. Pricing may vary by provider. [Compare provider pricing](https://artificialanalysis.ai/models/gpt-6-1-terra/providers)\n\nWhen evaluated on the Intelligence Index, GPT-6.1 Terra (Max) generated 130M output tokens, which is somewhat higher than average compared to other models in a similar price tier (median: 81M).\n\nYes, GPT-6.1 Terra (Max) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.\n\nGPT-6.1 Terra (Max) supports text and image input.\n\nGPT-6.1 Terra (Max) supports text output.\n\nYes, GPT-6.1 Terra (Max) supports image input and can analyze, describe, and answer questions about images.\n\nYes, GPT-6.1 Terra (Max) is multimodal. It can process text and image input and generate text output.\n\nGPT-6.1 Terra (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, GPT-6.1 Terra (Max) is proprietary. The model weights are not publicly available.\n\nGPT-6.1 Terra (Max) is a proprietary model and OpenAI has not disclosed the model size or parameter count.\n\nGPT-6.1 Terra (Max) achieves a score of 48 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.\n\nYes, GPT-6.1 Terra (Max) is available via API through 1 provider. [Compare API providers](https://artificialanalysis.ai/models/gpt-6-1-terra/providers)\n\nGPT-6.1 Terra (Max) is available through 1 API provider. [Compare providers](https://artificialanalysis.ai/models/gpt-6-1-terra/providers)", "url": "https://wpnews.pro/news/gpt-6-1-terra-max-scores-48-on-artificial-analysis", "canonical_source": "https://artificialanalysis.ai/models/gpt-6-1-terra", "published_at": "2026-10-26 18:54:00+00:00", "updated_at": "2026-10-26 19:11:28.729289+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research"], "entities": ["OpenAI", "GPT-6.1 Terra (Max)", "Artificial Analysis", "Artificial Analysis Intelligence Index"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/gpt-6-1-terra-max-scores-48-on-artificial-analysis", "markdown": "https://wpnews.pro/news/gpt-6-1-terra-max-scores-48-on-artificial-analysis.md", "text": "https://wpnews.pro/news/gpt-6-1-terra-max-scores-48-on-artificial-analysis.txt", "jsonld": "https://wpnews.pro/news/gpt-6-1-terra-max-scores-48-on-artificial-analysis.jsonld"}}