OpenAI, proprietary

# GPT-5.5 Instant

> GPT-5.5 Instant by OpenAI, released May 2026. Ranked #110 of 354 with a Noometry Index of 42.7. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/gpt-5-5-instant
- Last updated: 2026-10-10
- Title: GPT-5.5 Instant Benchmarks, Price & Rank (October 2026)

GPT-5.5 Instant by OpenAI ranks 110th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.7. Its strongest category is multimodal, where it ranks 52nd.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #110 of 354
- **Index score:** 42.7
- **Evidence:** Confirmed 27 results
- **Provider:** [OpenAI](https://noometry.com/providers/openai)
- **Released:** May 5, 2026
- **Weights:** Proprietary
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

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

GPT-5.5 Instant category scores

1.  Coding 44.3
2.  Reasoning 24.9
3.  Math 26.5
4.  Knowledge 48.9
5.  Multimodal 40.0
6.  Multilingual 52.8
7.  Instruction Following 74.2
8.  Long Context 43.4
9.  Writing & Preference 61.8
10.  020406080

GPT-5.5 Instant category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 44.3 | #74 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 24.9 | #155 | 3 |
| [Math](https://noometry.com/best/math) | 26.5 | #259 | 4 |
| [Knowledge](https://noometry.com/best/knowledge) | 48.9 | #74 | 2 |
| [Multimodal](https://noometry.com/best/multimodal) | 40.0 | #52 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 52.8 | #80 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.2 | #100 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 43.4 | #96 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 61.8 | #85 | 3 |

## Strengths and weaknesses

Categories where GPT-5.5 Instant places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

GPT-5.5 Instant: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 44.3 | +5.5 | #74 of 340, top 22% |
| [Knowledge](https://noometry.com/best/knowledge) | 48.9 | +11.6 | #74 of 314, top 24% |
| [Multilingual](https://noometry.com/best/multilingual) | 52.8 | +5.4 | #80 of 297, top 27% |

### Weakest categories

GPT-5.5 Instant: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 26.5 | −10.1 | #259 of 327, top 80% |
| [Reasoning](https://noometry.com/best/reasoning) | 24.9 | +1.3 | #155 of 350, top 45% |
| [Multimodal](https://noometry.com/best/multimodal) | 40.0 | +1.4 | #52 of 128, top 41% |

## Closest competitors

The models ranked just above and below GPT-5.5 Instant. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to GPT-5.5 Instant
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | #106 | 42.9 | $0.90 | — | [Compare](https://noometry.com/compare/gpt-5-5-instant-vs-qwen3-5-plus) |
| [Amazon Nova Experimental Chat 26 01 10](https://noometry.com/models/amazon-nova-experimental-chat-26-01-10) | #107 | 42.8 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-26-01-10-vs-gpt-5-5-instant) |
| [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | #108 | 42.8 | $0.42 | 328 | [Compare](https://noometry.com/compare/deepseek-v3-1-vs-gpt-5-5-instant) |
| [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | #109 | 42.8 | $4.81 | — | [Compare](https://noometry.com/compare/gpt-5-3-chat-vs-gpt-5-5-instant) |
| [GPT-5.2 Codex](https://noometry.com/models/gpt-5-2-codex) | #111 | 42.6 | $4.81 | — | [Compare](https://noometry.com/compare/gpt-5-2-codex-vs-gpt-5-5-instant) |
| [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | #112 | 42.5 | $0.18 | — | [Compare](https://noometry.com/compare/gpt-5-5-instant-vs-qwen3-5-flash) |
| [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) | #113 | 42.5 | $0.93 | — | [Compare](https://noometry.com/compare/gpt-5-5-instant-vs-nemotron-3-ultra) |
| [Hunyuan T1 20250711](https://noometry.com/models/hunyuan-t1) | #114 | 42.5 | — | — | [Compare](https://noometry.com/compare/gpt-5-5-instant-vs-hunyuan-t1) |

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-5.5 Instant Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SciCode](https://noometry.com/benchmarks/scicode) | 48.6% | #49 of 121, top 41% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1433 | #108 of 294, top 37% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

GPT-5.5 Instant Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CritPt](https://noometry.com/benchmarks/critpt) | 0% | #113 of 134, top 85% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 12% | #77 of 129, top 60% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1426 | #95 of 297, top 32% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 142.52 | #96 of 213, top 46% |  | [Epoch AI](https://epoch.ai/eci) | 2026-05-05 |

### Math

GPT-5.5 Instant Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 26.3% | #63 of 81, top 78% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4) | 2.4% | #59 of 63, top 94% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 68.1% | #95 of 173, top 55% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1420 | #102 of 285, top 36% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

GPT-5.5 Instant Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 82.5% | #73 of 186, top 40% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1409 | #113 of 273, top 42% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

GPT-5.5 Instant Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1250 | #54 of 122, top 45% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [LMArena Document](https://noometry.com/benchmarks/arena-document) | 1403 | #38 of 38, top 100% |  | [LMArena](https://lmarena.ai/leaderboard/document) | 2026-09-13 |

### Multilingual

GPT-5.5 Instant Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1417 | #80 of 297, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1456 | #97 of 285, top 35% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1428 | #94 of 223, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1411 | #85 of 231, top 37% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1408 | #52 of 211, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1392 | #67 of 213, top 32% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1431 | #66 of 283, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1429 | #84 of 226, top 38% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

GPT-5.5 Instant Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1406 | #92 of 298, top 31% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

GPT-5.5 Instant Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1422 | #88 of 291, top 31% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

GPT-5.5 Instant Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1419 | #97 of 297, top 33% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1419 | #54 of 295, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1433 | #80 of 295, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare GPT-5.5 Instant

-   [GPT-5.5 Instant vs GPT-5.3 Chat](https://noometry.com/compare/gpt-5-3-chat-vs-gpt-5-5-instant)
-   [GPT-5.5 Instant vs GPT-5.2 Codex](https://noometry.com/compare/gpt-5-2-codex-vs-gpt-5-5-instant)
-   [GPT-5.5 Instant vs DeepSeek-V3.1](https://noometry.com/compare/deepseek-v3-1-vs-gpt-5-5-instant)
-   [GPT-5.5 Instant vs Qwen3.5-Flash](https://noometry.com/compare/gpt-5-5-instant-vs-qwen3-5-flash)
-   [GPT-5.5 Instant vs Amazon Nova Experimental Chat 26 01 10](https://noometry.com/compare/amazon-nova-experimental-chat-26-01-10-vs-gpt-5-5-instant)
-   [GPT-5.5 Instant vs Nemotron 3 Ultra](https://noometry.com/compare/gpt-5-5-instant-vs-nemotron-3-ultra)
-   [GPT-5.5 Instant vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gpt-5-5-instant)
-   [GPT-5.5 Instant vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-gpt-5-5-instant)
-   [GPT-5.5 Instant vs Kimi K3](https://noometry.com/compare/gpt-5-5-instant-vs-kimi-k3)
-   [GPT-5.5 Instant vs Grok 4.6](https://noometry.com/compare/gpt-5-5-instant-vs-grok-4-6)
-   [GPT-5.5 Instant vs Qwen3.8 Max](https://noometry.com/compare/gpt-5-5-instant-vs-qwen3-8-max)
-   [GPT-5.5 Instant vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-gpt-5-5-instant)
-   [GPT-5.5 Instant vs Muse Spark 1.3](https://noometry.com/compare/gpt-5-5-instant-vs-muse-spark-1-3)
-   [GPT-5.5 Instant vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-gpt-5-5-instant)

## Other OpenAI models

-   [GPT-6 Astra](https://noometry.com/models/gpt-6-astra)70.8
-   [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol)65.6
-   [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)64.3
-   [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-5.6 Terra](https://noometry.com/models/gpt-5-6-terra)59.2

## Frequently asked questions

### How good is GPT-5.5 Instant?

GPT-5.5 Instant by OpenAI ranks 110th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.7. Its strongest category is multimodal, where it ranks 52nd.

### Is GPT-5.5 Instant open source?

No. GPT-5.5 Instant is proprietary and available only through OpenAI's API and partner platforms.

### What are GPT-5.5 Instant's strengths and weaknesses?

Relative to other ranked models, GPT-5.5 Instant places best in coding, knowledge, multilingual and lowest in math, reasoning, multimodal.

### What is GPT-5.5 Instant best at?

Its best category is multimodal, where it ranks 52nd on Noometry.

### Cite this page

Noometry. (2026). GPT-5.5 Instant benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/gpt-5-5-instant

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/gpt-5-5-instant.md).