OpenAI, proprietary

# GPT-5.2 Codex

> GPT-5.2 Codex by OpenAI, released December 2025. Ranked #111 of 354 with a Noometry Index of 42.6. API: $1.75 in / $14 out per M tokens. 400K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/gpt-5-2-codex
- Last updated: 2026-10-10
- Title: GPT-5.2 Codex Benchmarks, Price & Rank (October 2026)

GPT-5.2 Codex by OpenAI ranks 111th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.6. Its strongest category is agentic & tool use, where it ranks 22nd. API pricing starts at $1.75 per million input tokens and $14 per million output tokens, with a 400K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #111 of 354
- **Index score:** 42.6
- **Evidence:** Reported 5 results
- **Provider:** [OpenAI](https://noometry.com/providers/openai)
- **Released:** December 18, 2025
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 400K
- **Max output:** 128K
- **Input price:** $1.75 / M
- **Output price:** $14 / M
- **Blended price:** $4.81 / M
- **Output speed:** Not measured
- **Value:** #189 of 219
- **Knowledge cutoff:** August 2025
- **Input:** text, image

## Category scores

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

GPT-5.2 Codex category scores

1.  Coding 45.5
2.  Agentic & Tool Use 41.0
3.  3840424446

GPT-5.2 Codex category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 45.5 | #71 | 3 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 41.0 | #22 | 1 |

## Strengths and weaknesses

Categories where GPT-5.2 Codex places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

GPT-5.2 Codex: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 41.0 | +10.6 | #22 of 154, top 15% |

### Weakest categories

GPT-5.2 Codex: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 45.5 | +6.8 | #71 of 340, top 21% |

## Closest competitors

The models ranked just above and below GPT-5.2 Codex. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to GPT-5.2 Codex
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [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-5-2-codex) |
| [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-5-2-codex) |
| [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | #109 | 42.8 | $4.81 | — | [Compare](https://noometry.com/compare/gpt-5-2-codex-vs-gpt-5-3-chat) |
| [GPT-5.5 Instant](https://noometry.com/models/gpt-5-5-instant) | #110 | 42.7 | — | — | [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-5-2-codex-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-5-2-codex-vs-nemotron-3-ultra) |
| [Hunyuan T1 20250711](https://noometry.com/models/hunyuan-t1) | #114 | 42.5 | — | — | [Compare](https://noometry.com/compare/gpt-5-2-codex-vs-hunyuan-t1) |
| [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | #115 | 42.3 | $0.91 | 10 | [Compare](https://noometry.com/compare/deepseek-r1-vs-gpt-5-2-codex) |

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-5.2 Codex Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SWE-bench Verified (bash only)](https://noometry.com/benchmarks/swe-bench-bash-only) | 72.8% | #8 of 39, top 21% |  | [SWE-bench](https://www.swebench.com/) | 2026-02-19 |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1339 | #91 of 113, top 81% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [SWE-bench Multilingual](https://noometry.com/benchmarks/swe-bench-multilingual) | 66.3% | #10 of 13, top 77% |  | [SWE-bench](https://www.swebench.com/) | 2026-02-20 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 1,300 | #26 of 105, top 25% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

GPT-5.2 Codex Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Terminal-Bench](https://noometry.com/benchmarks/terminal-bench) | 66.5% | #8 of 41, top 20% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## API pricing by provider

GPT-5.2 Codex API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [azure](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) | $1.75 | $14 | $0.17 | 2026-10-10 |
| [openrouter](https://openrouter.ai/openai/gpt-5.2-codex) | $1.75 | $14 | $0.17 | 2026-10-10 |

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

## Compare GPT-5.2 Codex

-   [GPT-5.2 Codex vs GPT-5.1-Codex](https://noometry.com/compare/gpt-5-1-codex-vs-gpt-5-2-codex)
-   [GPT-5.2 Codex vs GPT-5.5 Instant](https://noometry.com/compare/gpt-5-2-codex-vs-gpt-5-5-instant)
-   [GPT-5.2 Codex vs Qwen3.5-Flash](https://noometry.com/compare/gpt-5-2-codex-vs-qwen3-5-flash)
-   [GPT-5.2 Codex vs GPT-5.3 Chat](https://noometry.com/compare/gpt-5-2-codex-vs-gpt-5-3-chat)
-   [GPT-5.2 Codex vs Nemotron 3 Ultra](https://noometry.com/compare/gpt-5-2-codex-vs-nemotron-3-ultra)
-   [GPT-5.2 Codex vs DeepSeek-V3.1](https://noometry.com/compare/deepseek-v3-1-vs-gpt-5-2-codex)
-   [GPT-5.2 Codex vs Hunyuan T1 20250711](https://noometry.com/compare/gpt-5-2-codex-vs-hunyuan-t1)
-   [GPT-5.2 Codex vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gpt-5-2-codex)
-   [GPT-5.2 Codex vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-gpt-5-2-codex)
-   [GPT-5.2 Codex vs Kimi K3](https://noometry.com/compare/gpt-5-2-codex-vs-kimi-k3)
-   [GPT-5.2 Codex vs Grok 4.6](https://noometry.com/compare/gpt-5-2-codex-vs-grok-4-6)
-   [GPT-5.2 Codex vs Qwen3.8 Max](https://noometry.com/compare/gpt-5-2-codex-vs-qwen3-8-max)
-   [GPT-5.2 Codex vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-gpt-5-2-codex)
-   [GPT-5.2 Codex vs Muse Spark 1.3](https://noometry.com/compare/gpt-5-2-codex-vs-muse-spark-1-3)

## 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-5.2 Codex?

GPT-5.2 Codex by OpenAI ranks 111th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.6. Its strongest category is agentic & tool use, where it ranks 22nd. API pricing starts at $1.75 per million input tokens and $14 per million output tokens, with a 400K-token context window.

### How much does GPT-5.2 Codex cost?

GPT-5.2 Codex costs $1.75 per million input tokens and $14 per million output tokens on azure, with cached input at $0.17.

### What is GPT-5.2 Codex's context window?

GPT-5.2 Codex accepts up to 400K tokens of input and can write up to 128K tokens in one response.

### Is GPT-5.2 Codex open source?

No. GPT-5.2 Codex is proprietary and available only through OpenAI's API and partner platforms.

### What are GPT-5.2 Codex's strengths and weaknesses?

Relative to other ranked models, GPT-5.2 Codex places best in agentic & tool use and lowest in coding.

### What is GPT-5.2 Codex best at?

Its best category is agentic & tool use, where it ranks 22nd on Noometry.

### Cite this page

Noometry. (2026). GPT-5.2 Codex benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/gpt-5-2-codex

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/gpt-5-2-codex.md).