OpenAI, proprietary

# GPT-6.1 Terra

> GPT-6.1 Terra by OpenAI, released October 2026. Ranked #14 of 368 with a Noometry Index of 60.8. API: $1 in / $5 out per M tokens. 1.05M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/gpt-6-1-terra
- Last updated: 2026-11-04
- Title: GPT-6.1 Terra Benchmarks, Price & Rank (November 2026)

GPT-6.1 Terra by OpenAI ranks 14th of 368 ranked models on the Noometry Index as of November 2026, with a score of 60.8. Its strongest category is multimodal, where it ranks 4th. API pricing starts at $1 per million input tokens and $5 per million output tokens, with a 1.05M-token context window.

Last verified November 4, 2026

## Specifications

- **Noometry rank:** #14 of 368
- **Index score:** 60.8
- **Evidence:** Confirmed 16 results
- **Provider:** [OpenAI](https://noometry.com/providers/openai)
- **Released:** October 26, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1.05M
- **Max output:** 128K
- **Input price:** $1 / M
- **Output price:** $5 / M
- **Blended price:** $2 / M
- **Output speed:** Not measured
- **Value:** #131 of 217
- **Knowledge cutoff:** June 2026
- **Input:** text, image, pdf

## Category scores

Each category score combines every public result we have in that category.

GPT-6.1 Terra category scores

1.  Coding 54.4
2.  Agentic & Tool Use 41.5
3.  Reasoning 65.2
4.  Math 89.2
5.  Knowledge 66.8
6.  Multimodal 57.0
7.  050100

GPT-6.1 Terra category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 54.4 | #33 | 2 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 41.5 | #22 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 65.2 | #20 | 3 |
| [Math](https://noometry.com/best/math) | 89.2 | #5 | 3 |
| [Knowledge](https://noometry.com/best/knowledge) | 66.8 | #12 | 2 |
| [Multimodal](https://noometry.com/best/multimodal) | 57.0 | #4 | 2 |

## Strengths and weaknesses

Categories where GPT-6.1 Terra places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

GPT-6.1 Terra: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 89.2 | +50.6 | #5 of 342, top 2% |
| [Multimodal](https://noometry.com/best/multimodal) | 57.0 | +18.1 | #4 of 133, top 4% |
| [Knowledge](https://noometry.com/best/knowledge) | 66.8 | +28.5 | #12 of 326, top 4% |

### Weakest categories

GPT-6.1 Terra: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 41.5 | +10.3 | #22 of 160, top 14% |
| [Coding](https://noometry.com/best/coding) | 54.4 | +15.2 | #33 of 346, top 10% |
| [Reasoning](https://noometry.com/best/reasoning) | 65.2 | +39.2 | #20 of 349, top 6% |

## Closest competitors

The models ranked just above and below GPT-6.1 Terra. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to GPT-6.1 Terra
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | #10 | 64.5 | $67.50 | — | [Compare](https://noometry.com/compare/gpt-5-5-pro-vs-gpt-6-1-terra) |
| [GPT-5.5](https://noometry.com/models/gpt-5-5) | #11 | 63.4 | $11.25 | 25 | [Compare](https://noometry.com/compare/gpt-5-5-vs-gpt-6-1-terra) |
| [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | #12 | 61.8 | $4 | — | [Compare](https://noometry.com/compare/gpt-6-1-terra-vs-gpt-6-sol) |
| [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | #13 | 61.6 | $1.50 | — | [Compare](https://noometry.com/compare/gemini-3-8-flash-vs-gpt-6-1-terra) |
| [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | #15 | 60.7 | $10 | 34 | [Compare](https://noometry.com/compare/claude-opus-4-8-vs-gpt-6-1-terra) |
| [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | #16 | 60.0 | $1.50 | — | [Compare](https://noometry.com/compare/gemini-3-7-flash-vs-gpt-6-1-terra) |
| [GPT-5.4](https://noometry.com/models/gpt-5-4) | #17 | 59.4 | $5.63 | 12 | [Compare](https://noometry.com/compare/gpt-5-4-vs-gpt-6-1-terra) |
| [Kimi K3](https://noometry.com/models/kimi-k3) | #18 | 59.4 | $6 | — | [Compare](https://noometry.com/compare/gpt-6-1-terra-vs-kimi-k3) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

GPT-6.1 Terra Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1673 | #12 of 119, top 11% | GPT-6.1 Terra (Max) | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-28 |
| [SciCode](https://noometry.com/benchmarks/scicode) | 51.6% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 52.4% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 55.1% | #30 of 128, top 24% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 51.6% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 47.8% |  | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 53.4% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 2,609 | #3 of 114, top 3% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

GPT-6.1 Terra Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 68.3% | #6 of 54, top 12% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 9,107 | #12 of 65, top 19% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

GPT-6.1 Terra Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CritPt](https://noometry.com/benchmarks/critpt) | 25.7% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 15.1% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 28% | #15 of 154, top 10% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 21.4% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 4.9% |  | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 26.6% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [EBR-Bench](https://noometry.com/benchmarks/ebr-bench) | 78.1% | Best of 29 | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-26 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 74% | #3 of 78, top 4% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-26 |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 168.11 | #3 of 210, top 2% |  | [Epoch AI](https://epoch.ai/eci) | 2026-10-26 |

### Math

GPT-6.1 Terra Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 90.9% | #4 of 86, top 5% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-26 |
| [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4) | 92.7% | #4 of 68, top 6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-26 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 100% | #10 of 184, top 6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-26 |

### Knowledge

GPT-6.1 Terra Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 94.3% | #9 of 196, top 5% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-26 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 57.3% | #19 of 87, top 22% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-26 |

### Multimodal

GPT-6.1 Terra Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Blueprint-Bench 2](https://noometry.com/benchmarks/blueprint-bench-2) | 42.1% | #5 of 35, top 15% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Furniture Assembly](https://noometry.com/benchmarks/furniture-assembly) | 79.2% | #4 of 35, top 12% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-26 |

## API pricing by provider

GPT-6.1 Terra API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [azure](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) | $1 | $5 | $0.05 | 2026-11-04 |
| [bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) | $1 | $5 | $0.05 | 2026-11-04 |
| [openai](https://platform.openai.com/docs/models) | $1 | $5 | $0.05 | 2026-11-04 |
| [openrouter](https://openrouter.ai/openai/gpt-6.1-terra) | $1 | $5 | $0.05 | 2026-11-04 |

[All OpenAI API prices →](https://noometry.com/llm-pricing/openai) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare GPT-6.1 Terra

-   [GPT-6.1 Terra vs GPT-5.6 Terra](https://noometry.com/compare/gpt-5-6-terra-vs-gpt-6-1-terra)
-   [GPT-6.1 Terra vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-gpt-6-1-terra)
-   [GPT-6.1 Terra vs Claude Opus 4.8](https://noometry.com/compare/claude-opus-4-8-vs-gpt-6-1-terra)
-   [GPT-6.1 Terra vs GPT-6 Sol](https://noometry.com/compare/gpt-6-1-terra-vs-gpt-6-sol)
-   [GPT-6.1 Terra vs Gemini 3.7 Flash](https://noometry.com/compare/gemini-3-7-flash-vs-gpt-6-1-terra)
-   [GPT-6.1 Terra vs GPT-5.5](https://noometry.com/compare/gpt-5-5-vs-gpt-6-1-terra)
-   [GPT-6.1 Terra vs GPT-5.4](https://noometry.com/compare/gpt-5-4-vs-gpt-6-1-terra)
-   [GPT-6.1 Terra vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-1-terra)
-   [GPT-6.1 Terra vs Gemini 4 Argon](https://noometry.com/compare/gemini-4-argon-vs-gpt-6-1-terra)
-   [GPT-6.1 Terra vs Kimi K3](https://noometry.com/compare/gpt-6-1-terra-vs-kimi-k3)
-   [GPT-6.1 Terra vs DeepSeek V4.1 Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-gpt-6-1-terra)
-   [GPT-6.1 Terra vs Muse Wonder](https://noometry.com/compare/gpt-6-1-terra-vs-muse-wonder)
-   [GPT-6.1 Terra vs Qwen3.8 Max](https://noometry.com/compare/gpt-6-1-terra-vs-qwen3-8-max)
-   [GPT-6.1 Terra vs Grok 4.6](https://noometry.com/compare/gpt-6-1-terra-vs-grok-4-6)

## Other OpenAI models

-   [GPT-6 Astra](https://noometry.com/models/gpt-6-astra)70.6
-   [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol)65.9
-   [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol)65.0
-   [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro)64.5
-   [GPT-5.5](https://noometry.com/models/gpt-5-5)63.4
-   [GPT-6 Sol](https://noometry.com/models/gpt-6-sol)61.8
-   [GPT-5.4](https://noometry.com/models/gpt-5-4)59.4
-   [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro)59.1

## Frequently asked questions

### How good is GPT-6.1 Terra?

GPT-6.1 Terra by OpenAI ranks 14th of 368 ranked models on the Noometry Index as of November 2026, with a score of 60.8. Its strongest category is multimodal, where it ranks 4th. API pricing starts at $1 per million input tokens and $5 per million output tokens, with a 1.05M-token context window.

### How much does GPT-6.1 Terra cost?

GPT-6.1 Terra costs $1 per million input tokens and $5 per million output tokens on OpenAI's own API, with cached input at $0.05.

### What is GPT-6.1 Terra's context window?

GPT-6.1 Terra accepts up to 1.05M tokens of input and can write up to 128K tokens in one response.

### Is GPT-6.1 Terra open source?

No. GPT-6.1 Terra is proprietary and available only through OpenAI's API and partner platforms.

### What are GPT-6.1 Terra's strengths and weaknesses?

Relative to other ranked models, GPT-6.1 Terra places best in math, multimodal, knowledge and lowest in agentic & tool use, coding, reasoning.

### What is GPT-6.1 Terra best at?

Its best category is multimodal, where it ranks 4th on Noometry.

### Cite this page

Noometry. (2026). GPT-6.1 Terra benchmarks and pricing. Retrieved November 4, 2026, from https://noometry.com/models/gpt-6-1-terra

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/gpt-6-1-terra.md).