GPT-6.1 Terra: Intelligence, Performance & Price Analysis
Available providers
Model summary
GPT-6.1 Terra (Max) is amongst the leading models in intelligence and well priced when comparing to other models of similar price. It's also slower than average per task and somewhat verbose. The model supports text and image input, outputs text, and has a 1M tokens context window.
GPT-6.1 Terra (Max) scores 51 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 41). When evaluating the Intelligence Index, it generated 99.4M tokens, which is somewhat verbose in comparison to the median of 77.3M.
Pricing 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 $0.96 per task to evaluate GPT-6.1 Terra (Max) on the Intelligence Index.
At 14.1 minutes per Intelligence Index task, GPT-6.1 Terra (Max) is slower than average compared with the median of 13.3 minutes for comparable models (lower is better).
| Input modality | Supports: text and image |
|---|---|
| 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
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Task
Capability Indexes
Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better
Incorporates 4 evaluations: AutomationBench-AA, AA-Briefcase v1.1, AA-Omniscience v1.1, GDP.pdf · Higher is better
Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf, AutomationBench-AA · Higher is better
Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, MLCR-AA, AutomationBench-AA, HLE-Diamond · Higher is better
Incorporates 7 evaluations: AA-Omniscience v1.1, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1, HLE-Diamond, Terminal-Bench 4.0, FrontierCode-AA 2.0, AA-Briefcase v1.1 · Higher is better
Incorporates 4 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf · Higher is better
Evaluations
Agentic knowledge work, Elo
Knowledge
1 - hallucination rate
Agentic SaaS workflows
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Physics reasoning
Agentic real-world work tasks, Elo
Medical long context reasoning
Visual reasoning
Cost
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Performance
Measured by time per task (minutes), output speed (tokens per second), time to first answer token and time to first token (seconds)
Time per Intelligence Index Task
Output Speed
Time to First Answer Token
Token Use
Output Tokens per Intelligence Index Task
Context Window
Context Window
Further details
Weights | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| GPT-6.1 Terra (Max) |  OpenAI | 51 | - | 1M | $0.73 | 14.1 | 71 | Not available | |
| GPT-6.1 Terra (Xhigh) | OpenAI | 45 | - | 1M | $0.73 | 6.4 | 68 | Not available | |
| GPT-6.1 Terra (High) | OpenAI | 42 | - | 1M | $0.73 | 4.3 | 65 | Not available | |
| GPT-6.1 Terra (Medium) | OpenAI | 38 | - | 1M | $0.73 | 2.8 | 64 | Not available | |
| GPT-6.1 Terra (Non-reasoning) | OpenAI | 31 | - | 1M | $0.73 | 2.4 | 65 | Not available | |
| GPT-6.1 Terra (Low) | OpenAI | 29 | - | 1M | $0.73 | 1.2 | 62 | Not available | |
Frequently Asked Questions
Common questions about GPT-6.1 Terra
GPT-6.1 Terra was released on October 26, 2026.
GPT-6.1 Terra was created by OpenAI.
GPT-6.1 Terra has 6 effort levels: max, xhigh, high, medium, low, and non-reasoning. GPT-6.1 Terra scores 51 (max), 45 (xhigh), 42 (high), 38 (medium), 29 (low), and 31 (non-reasoning) on the Artificial Analysis Intelligence Index. GPT-6.1 Terra (Max) is well above average among other models in a similar price tier (median: 41).
GPT-6.1 Terra takes 14.1 minutes (max), 6.4 minutes (xhigh), 4.3 minutes (high), 2.8 minutes (medium), 1.2 minutes (low), and 2.4 minutes (non-reasoning) per Intelligence Index task (based on OpenAI's API; lower is better). GPT-6.1 Terra (Max) is slower than average compared to other models in a similar price tier (median: 13.3 minutes).
GPT-6.1 Terra has a time to first answer token of 173.08s (max), 34.45s (xhigh), 12.60s (high), 4.96s (medium), 2.78s (low), and 1.96s (non-reasoning) (based on OpenAI's API). GPT-6.1 Terra (Max)'s time to first answer token is at the higher end compared to other models in a similar price tier (median: 13.66s).
GPT-6.1 Terra 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.
GPT-6.1 Terra 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
When evaluated on the Intelligence Index, GPT-6.1 Terra generated 99.4M output tokens (max), 34.7M output tokens (xhigh), 20.6M output tokens (high), 13.6M output tokens (medium), 7.19M output tokens (low), and 9.96M output tokens (non-reasoning). GPT-6.1 Terra (Max)'s output token count is somewhat higher than average compared to other models in a similar price tier (median: 77.3M).
Yes, GPT-6.1 Terra (max, xhigh, high, medium, and low) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. No, GPT-6.1 Terra (Non-reasoning) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
GPT-6.1 Terra supports text and image input.
GPT-6.1 Terra supports text output.
Yes, GPT-6.1 Terra supports image input and can analyze, describe, and answer questions about images.
Yes, GPT-6.1 Terra is multimodal. It can process text and image input and generate text output.
GPT-6.1 Terra has a context window of 1M tokens. This determines how much text and conversation history the model can process in a single request.
No, GPT-6.1 Terra is proprietary. The model weights are not publicly available.
GPT-6.1 Terra is a proprietary model and OpenAI has not disclosed the model size or parameter count.
GPT-6.1 Terra achieves a score of 51 (max), 45 (xhigh), 42 (high), 38 (medium), 29 (low), and 31 (non-reasoning) on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across knowledge work, coding, science, and general knowledge.
Yes, GPT-6.1 Terra is available via API through 1 provider. Compare API providers
GPT-6.1 Terra is available through 1 API provider. Compare providers