OpenAI, proprietary

# o3-pro

> o3-pro by OpenAI, released June 2025. Ranked #105 of 354 with a Noometry Index of 42.9. API: $20 in / $80 out per M tokens. 200K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/o3-pro
- Last updated: 2026-10-10
- Title: o3-pro Benchmarks, Price & Rank (October 2026) | Noometry

o3-pro by OpenAI ranks 105th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.9. Its strongest category is long context, where it ranks 1st. API pricing starts at $20 per million input tokens and $80 per million output tokens, with a 200K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #105 of 354
- **Index score:** 42.9
- **Evidence:** Confirmed 12 results
- **Provider:** [OpenAI](https://noometry.com/providers/openai)
- **Released:** June 10, 2025
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 200K
- **Max output:** 100K
- **Input price:** $20 / M
- **Output price:** $80 / M
- **Blended price:** $35 / M
- **Output speed:** 1 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** #213 of 219
- **Knowledge cutoff:** May 2024
- **Input:** text, image

## Category scores

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

o3-pro category scores

1.  Coding 55.5
2.  Reasoning 23.8
3.  Knowledge 29.5
4.  Long Context 72.2
5.  Writing & Preference 57.1
6.  020406080

o3-pro category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 55.5 | #24 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 23.8 | #171 | 5 |
| [Knowledge](https://noometry.com/best/knowledge) | 29.5 | #238 | 2 |
| [Long Context](https://noometry.com/best/long-context) | 72.2 | #1 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 57.1 | #133 | 1 |

## Strengths and weaknesses

Categories where o3-pro places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

o3-pro: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Long Context](https://noometry.com/best/long-context) | 72.2 | +31.2 | #1 of 296, top 1% |
| [Coding](https://noometry.com/best/coding) | 55.5 | +16.8 | #24 of 340, top 8% |

### Weakest categories

o3-pro: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 29.5 | −7.9 | #238 of 314, top 76% |
| [Reasoning](https://noometry.com/best/reasoning) | 23.8 | +0.2 | #171 of 350, top 49% |

## Closest competitors

The models ranked just above and below o3-pro. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to o3-pro
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Amazon Nova Experimental Chat 11 10](https://noometry.com/models/amazon-nova-experimental-chat-11-10) | #101 | 43.0 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-o3-pro) |
| [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | #102 | 43.0 | $0.88 | 111 | [Compare](https://noometry.com/compare/o3-pro-vs-qwen3-next-80b-a3b-instruct) |
| [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | #103 | 43.0 | $0.54 | — | [Compare](https://noometry.com/compare/mimo-v2-pro-vs-o3-pro) |
| [Amazon Nova Experimental Chat 12 10](https://noometry.com/models/amazon-nova-experimental-chat-12-10) | #104 | 42.9 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-12-10-vs-o3-pro) |
| [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | #106 | 42.9 | $0.90 | — | [Compare](https://noometry.com/compare/o3-pro-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-o3-pro) |
| [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-o3-pro) |
| [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-o3-pro) |

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

o3-pro Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Aider Polyglot](https://noometry.com/benchmarks/aider-polyglot) | 84.9% | #2 of 44, top 5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 58.2% | #34 of 119, top 29% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

o3-pro Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 4.9% | #59 of 83, top 72% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 2% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 1.9% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 72.1% | #21 of 99, top 22% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 59.3% | #51 of 83, top 62% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 44.3% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 57% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 86.9% | #53 of 151, top 36% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 38.5% | #50 of 125, top 40% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 147.42 | #64 of 213, top 31% |  | [Epoch AI](https://epoch.ai/eci) | 2025-06-10 |

### Knowledge

o3-pro Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Confabulations](https://noometry.com/benchmarks/confabulations) (lower is better) | 14.2% | #15 of 51, top 30% | medium reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/confabulations) |  |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 23.3% | #95 of 96, top 99% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |

### Long Context

o3-pro Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Fiction.LiveBench](https://noometry.com/benchmarks/fiction-livebench) | 97.2% | #2 of 47, top 5% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Writing & Preference

o3-pro Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Short-Story Creative Writing](https://noometry.com/benchmarks/lech-mazur-writing) | 84.4% | #4 of 39, top 11% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |

## API pricing by provider

o3-pro API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [openai](https://platform.openai.com/docs/models) | $20 | $80 | — | 2026-10-10 |
| [openrouter](https://openrouter.ai/openai/o3-pro) | $20 | $80 | — | 2026-10-10 |

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

## Compare o3-pro

-   [o3-pro vs o1-pro](https://noometry.com/compare/o1-pro-vs-o3-pro)
-   [o3-pro vs Amazon Nova Experimental Chat 12 10](https://noometry.com/compare/amazon-nova-experimental-chat-12-10-vs-o3-pro)
-   [o3-pro vs Qwen3.5 Plus](https://noometry.com/compare/o3-pro-vs-qwen3-5-plus)
-   [o3-pro vs MiMo-V2-Pro](https://noometry.com/compare/mimo-v2-pro-vs-o3-pro)
-   [o3-pro vs Amazon Nova Experimental Chat 26 01 10](https://noometry.com/compare/amazon-nova-experimental-chat-26-01-10-vs-o3-pro)
-   [o3-pro vs Qwen3-Next 80B-A3B Instruct](https://noometry.com/compare/o3-pro-vs-qwen3-next-80b-a3b-instruct)
-   [o3-pro vs DeepSeek-V3.1](https://noometry.com/compare/deepseek-v3-1-vs-o3-pro)
-   [o3-pro vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-o3-pro)
-   [o3-pro vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-o3-pro)
-   [o3-pro vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-o3-pro)
-   [o3-pro vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-o3-pro)
-   [o3-pro vs Qwen3.8 Max](https://noometry.com/compare/o3-pro-vs-qwen3-8-max)
-   [o3-pro vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-o3-pro)
-   [o3-pro vs Muse Spark 1.3](https://noometry.com/compare/muse-spark-1-3-vs-o3-pro)

## 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 o3-pro?

o3-pro by OpenAI ranks 105th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.9. Its strongest category is long context, where it ranks 1st. API pricing starts at $20 per million input tokens and $80 per million output tokens, with a 200K-token context window.

### How much does o3-pro cost?

o3-pro costs $20 per million input tokens and $80 per million output tokens on OpenAI's own API.

### What is o3-pro's context window?

o3-pro accepts up to 200K tokens of input and can write up to 100K tokens in one response.

### Is o3-pro open source?

No. o3-pro is proprietary and available only through OpenAI's API and partner platforms.

### How fast is o3-pro?

o3-pro generated about 1 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### What are o3-pro's strengths and weaknesses?

Relative to other ranked models, o3-pro places best in long context, coding and lowest in knowledge, reasoning.

### What is o3-pro best at?

Its best category is long context, where it ranks 1st on Noometry.

### Cite this page

Noometry. (2026). o3-pro benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/o3-pro

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/o3-pro.md).