OpenAI, proprietary
GPT-5.6 Terra
GPT-5.6 Terra by OpenAI ranks 17th of 354 ranked models on the Noometry Index as of October 2026, with a score of 59.2. Its strongest category is multimodal, where it ranks 11th. API pricing starts at $2 per million input tokens and $12 per million output tokens, with a 1.05M-token context window.
Last verified
Specifications
- Noometry rank
- #17 of 354
- Index score
- 59.2
- Evidence
- Confirmed 52 results
- Provider
- OpenAI
- Released
- July 9, 2026
- Weights
- Proprietary
- Reasoning
- Yes
- Context window
- 1.05M
- Max output
- 128K
- Input price
- $2 / M
- Output price
- $12 / M
- Blended price
- $4.50 / M
- Output speed
- 11 tokens/s Kagi
- Value
- #170 of 219
- Knowledge cutoff
- February 2026
- Input
- text, image, pdf
Category scores
Each category score combines every public result we have in that category.
- Coding 57.7
- Agentic & Tool Use 40.1
- Reasoning 60.7
- Math 81.6
- Knowledge 61.2
- Multimodal 47.3
- Multilingual 54.4
- Instruction Following 76.4
- Long Context 44.4
- Writing & Preference 70.2
| Category | Score | Rank | Results |
|---|---|---|---|
| Coding | 57.7 | #19 | 7 |
| Agentic & Tool Use | 40.1 | #25 | 3 |
| Reasoning | 60.7 | #21 | 12 |
| Math | 81.6 | #12 | 5 |
| Knowledge | 61.2 | #30 | 3 |
| Multimodal | 47.3 | #11 | 3 |
| Multilingual | 54.4 | #44 | 1 |
| Instruction Following | 76.4 | #40 | 1 |
| Long Context | 44.4 | #68 | 1 |
| Writing & Preference | 70.2 | #23 | 5 |
Strengths and weaknesses
Categories where GPT-5.6 Terra places highest and lowest among the models ranked in each, with its score against that category's median.
Strongest categories
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Long Context | 44.4 | +3.5 | #68 of 296, top 23% |
| Agentic & Tool Use | 40.1 | +9.8 | #25 of 154, top 17% |
| Multilingual | 54.4 | +7.0 | #44 of 297, top 15% |
Closest competitors
The models ranked just above and below GPT-5.6 Terra. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| Claude Opus 4.8 | #13 | 60.7 | $10 | 34 | Compare |
| Gemini 3.7 Flash | #14 | 59.8 | $1.50 | — | Compare |
| Kimi K3 | #15 | 59.5 | $6 | — | Compare |
| GPT-5.4 | #16 | 59.4 | $5.63 | 12 | Compare |
| GPT-5.4 Pro | #18 | 58.9 | $67.50 | — | Compare |
| Claude Opus 4.7 | #19 | 58.3 | $10 | 33 | Compare |
| Claude Opus 4.6 | #20 | 58.2 | $10 | 19 | Compare |
| Grok 4.6 | #21 | 56.9 | $3 | — | Compare |
Sponsored placements are available on pages like this one. Advertise on Noometry
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
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| DeepSWE | 53.8% | high | Epoch AI | ||
| DeepSWE | 24.1% | low | Epoch AI | ||
| DeepSWE | 69.6% | #7 of 29, top 25% | max | Epoch AI | |
| DeepSWE | 35.1% | medium | Epoch AI | ||
| DeepSWE | 60.2% | xhigh | Epoch AI | ||
| FrontierCode | 41.3% | #19 of 37, top 52% | Epoch AI | ||
| CursorBench | 30.7% | high | Epoch AI | ||
| CursorBench | 25.2% | low | Epoch AI | ||
| CursorBench | 41.3% | #10 of 14, top 72% | max | Epoch AI | |
| CursorBench | 27.6% | medium | Epoch AI | ||
| CursorBench | 33.6% | xhigh | Epoch AI | ||
| LMArena WebDev | 1522 | #41 of 113, top 37% | LMArena | 2026-10-08 | |
| SciCode | 50.1% | high | Epoch AI | ||
| SciCode | 49.2% | low | Epoch AI | ||
| SciCode | 55% | #25 of 121, top 21% | max | Epoch AI | |
| SciCode | 49.7% | medium | Epoch AI | ||
| SciCode | 44.6% | none | Epoch AI | ||
| SciCode | 51.6% | xhigh | Epoch AI | ||
| WeirdML | 78.3% | #11 of 119, top 10% | high | Epoch AI | |
| LMArena Coding | 1484 | #40 of 294, top 14% | xhigh | LMArena | 2026-10-08 |
| ALE-Bench | 1,951 | #8 of 105, top 8% | max | Epoch AI |
Agentic & Tool Use
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| APEX-Agents | 58.2% | #14 of 49, top 29% | max | Epoch AI | |
| BALROG | 53.2% | #6 of 35, top 18% | max | Epoch AI | |
| GDP.pdf | 24.7% | #10 of 36, top 28% | Epoch AI | ||
| GDP.pdf | 24.7% | medium | Epoch AI | ||
| Vending-Bench 2 | 7,343 | #14 of 60, top 24% | Epoch AI |
Reasoning
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| FrontierMath (Tiers 1-3) | 86% | #10 of 81, top 13% | max | Epoch AI | 2026-07-09 |
| FrontierMath Tier 4 | 70.7% | #13 of 63, top 21% | max | Epoch AI | 2026-07-09 |
| OTIS Mock AIME 2024-2025 | 88.9% | low | Epoch AI | 2026-08-07 | |
| OTIS Mock AIME 2024-2025 | 99.7% | #12 of 173, top 7% | max | Epoch AI | 2026-07-09 |
| OTIS Mock AIME 2024-2025 | 53.3% | none | Epoch AI | 2026-08-07 | |
| ProofBench | 74% | #14 of 77, top 19% | xhigh | Epoch AI | |
| LMArena Math | 1466 | #45 of 285, top 16% | xhigh | LMArena | 2026-10-08 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| GPQA Diamond | 87.4% | low | Epoch AI | 2026-08-07 | |
| GPQA Diamond | 93.3% | #16 of 186, top 9% | max | Epoch AI | 2026-07-09 |
| GPQA Diamond | 77.3% | none | Epoch AI | 2026-08-07 | |
| SimpleQA Verified | 43.2% | #38 of 77, top 50% | max | Epoch AI | 2026-08-10 |
| LMArena Expert | 1492 | #28 of 273, top 11% | xhigh | LMArena | 2026-10-08 |
Multimodal
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Vision | 1271 | #36 of 122, top 30% | xhigh | LMArena | 2026-10-09 |
| Blueprint-Bench 2 | 30.8% | #15 of 31, top 49% | Epoch AI | ||
| Furniture Assembly | 54.2% | #9 of 31, top 30% | max | Epoch AI | 2026-09-10 |
| LMArena Document | 1472 | #10 of 38, top 27% | xhigh | LMArena | 2026-09-13 |
Multilingual
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Non-English | 1439 | #44 of 297, top 15% | xhigh | LMArena | 2026-10-08 |
| LMArena Chinese | 1513 | #31 of 285, top 11% | xhigh | LMArena | 2026-10-08 |
| LMArena French | 1471 | #39 of 223, top 18% | xhigh | LMArena | 2026-10-08 |
| LMArena German | 1460 | #35 of 231, top 16% | xhigh | LMArena | 2026-10-08 |
| LMArena Japanese | 1457 | #21 of 211, top 10% | xhigh | LMArena | 2026-10-08 |
| LMArena Korean | 1425 | #33 of 213, top 16% | xhigh | LMArena | 2026-10-08 |
| LMArena Russian | 1450 | #43 of 283, top 16% | xhigh | LMArena | 2026-10-08 |
| LMArena Spanish | 1448 | #53 of 226, top 24% | xhigh | LMArena | 2026-10-08 |
Instruction Following
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Instruction Following | 1454 | #38 of 298, top 13% | xhigh | LMArena | 2026-10-08 |
Long Context
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Longer Query | 1451 | #51 of 291, top 18% | xhigh | LMArena | 2026-10-08 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Text | 1447 | #49 of 297, top 17% | xhigh | LMArena | 2026-10-08 |
| LMArena Creative Writing | 1410 | #65 of 295, top 23% | xhigh | LMArena | 2026-10-08 |
| EQ-Bench Creative Writing | 1855 | #15 of 115, top 14% | EQ-Bench | ||
| EQ-Bench 4 | 1234 | #11 of 28, top 40% | EQ-Bench | ||
| LMArena Multi-Turn | 1449 | #55 of 295, top 19% | xhigh | LMArena | 2026-10-08 |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| azure | $2 | $12 | $0.20 | 2026-10-10 |
| bedrock | $2 | $12 | $0.20 | 2026-10-10 |
| openai | $2 | $12 | $0.20 | 2026-10-10 |
| openrouter | $2 | $12 | $0.20 | 2026-10-10 |
Compare GPT-5.6 Terra
- GPT-5.6 Terra vs GPT-5.4
- GPT-5.6 Terra vs GPT-5.4 Pro
- GPT-5.6 Terra vs Kimi K3
- GPT-5.6 Terra vs Claude Opus 4.7
- GPT-5.6 Terra vs Gemini 3.7 Flash
- GPT-5.6 Terra vs Claude Opus 4.6
- GPT-5.6 Terra vs Claude Fable 5.1
- GPT-5.6 Terra vs Gemini 3.8 Flash
- GPT-5.6 Terra vs Grok 4.6
- GPT-5.6 Terra vs Qwen3.8 Max
- GPT-5.6 Terra vs GLM-5.3
- GPT-5.6 Terra vs Muse Spark 1.3
- GPT-5.6 Terra vs DeepSeek V4 Pro
- GPT-5.6 Terra vs MiMo-V2.6-Pro
Other OpenAI models
- GPT-6 Astra70.8
- GPT-6.1 Sol65.6
- GPT-5.6 Sol65.0
- GPT-5.5 Pro64.3
- GPT-5.563.4
- GPT-6 Sol61.8
- GPT-5.459.4
- GPT-5.4 Pro58.9
Frequently asked questions
How good is GPT-5.6 Terra?
GPT-5.6 Terra by OpenAI ranks 17th of 354 ranked models on the Noometry Index as of October 2026, with a score of 59.2. Its strongest category is multimodal, where it ranks 11th. API pricing starts at $2 per million input tokens and $12 per million output tokens, with a 1.05M-token context window.
How much does GPT-5.6 Terra cost?
GPT-5.6 Terra costs $2 per million input tokens and $12 per million output tokens on OpenAI's own API, with cached input at $0.20.
What is GPT-5.6 Terra's context window?
GPT-5.6 Terra accepts up to 1.05M tokens of input and can write up to 128K tokens in one response.
Is GPT-5.6 Terra open source?
No. GPT-5.6 Terra is proprietary and available only through OpenAI's API and partner platforms.
How fast is GPT-5.6 Terra?
GPT-5.6 Terra generated about 11 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.
What are GPT-5.6 Terra's strengths and weaknesses?
Relative to other ranked models, GPT-5.6 Terra places best in math, coding, reasoning and lowest in long context, agentic & tool use, multilingual.
What is GPT-5.6 Terra best at?
Its best category is multimodal, where it ranks 11th on Noometry.