OpenAI, proprietary

# GPT-5-Codex

> GPT-5-Codex by OpenAI, released September 2025. Ranked #192 of 354 with a Noometry Index of 37.9. API: $1.25 in / $10 out per M tokens. 400K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/gpt-5-codex
- Last updated: 2026-10-10
- Title: GPT-5-Codex Benchmarks, Price & Rank (October 2026)

GPT-5-Codex by OpenAI ranks 192nd of 354 ranked models on the Noometry Index as of October 2026, with a score of 37.9. Its strongest category is agentic & tool use, where it ranks 72nd. API pricing starts at $1.25 per million input tokens and $10 per million output tokens, with a 400K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #192 of 354
- **Index score:** 37.9
- **Evidence:** Reported 3 results
- **Provider:** [OpenAI](https://noometry.com/providers/openai)
- **Released:** September 15, 2025
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 400K
- **Max output:** 128K
- **Input price:** $1.25 / M
- **Output price:** $10 / M
- **Blended price:** $3.44 / M
- **Output speed:** 95 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** #180 of 219
- **Knowledge cutoff:** September 2024
- **Input:** text, image

## Category scores

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

GPT-5-Codex category scores

1.  Coding 42.4
2.  Agentic & Tool Use 31.0
3.  Reasoning 30.9
4.  2530354045

GPT-5-Codex category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 42.4 | #103 | 1 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 31.0 | #72 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 30.9 | #83 | 1 |

## Strengths and weaknesses

Categories where GPT-5-Codex places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

GPT-5-Codex: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 30.9 | +7.3 | #83 of 350, top 24% |

### Weakest categories

GPT-5-Codex: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 31.0 | +0.7 | #72 of 154, top 47% |

## Closest competitors

The models ranked just above and below GPT-5-Codex. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to GPT-5-Codex
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5) | #188 | 38.3 | $0.52 | 49 | [Compare](https://noometry.com/compare/gpt-5-codex-vs-minimax-m2-5) |
| [Nova Premier 1.0](https://noometry.com/models/nova-premier-1-0) | #189 | 38.3 | $5 | 9 | [Compare](https://noometry.com/compare/gpt-5-codex-vs-nova-premier-1-0) |
| [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) | #190 | 38.1 | $3 | 67 | [Compare](https://noometry.com/compare/gpt-5-codex-vs-qwen3-coder-480b-a35b-instruct) |
| [Olmo 3.1 32b Think](https://noometry.com/models/olmo-3-1-32b-think) | #191 | 37.9 | — | — | [Compare](https://noometry.com/compare/gpt-5-codex-vs-olmo-3-1-32b-think) |
| [Hunyuan Standard 2025 02 10](https://noometry.com/models/hunyuan-standard) | #193 | 37.9 | — | — | [Compare](https://noometry.com/compare/gpt-5-codex-vs-hunyuan-standard) |
| [Gemini 2.0 Flash-Lite](https://noometry.com/models/gemini-2-0-flash-lite) | #194 | 37.8 | — | — | [Compare](https://noometry.com/compare/gemini-2-0-flash-lite-vs-gpt-5-codex) |
| [DeepSeek-R1-Distill-Llama-70B](https://noometry.com/models/deepseek-r1-distill-llama-70b) | #195 | 37.8 | — | 18 | [Compare](https://noometry.com/compare/deepseek-r1-distill-llama-70b-vs-gpt-5-codex) |
| [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) | #196 | 37.7 | $0.52 | — | [Compare](https://noometry.com/compare/gpt-5-codex-vs-minimax-m2-7) |

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-Codex Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 54.5% | #39 of 119, top 33% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 54.5% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

GPT-5-Codex Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Terminal-Bench](https://noometry.com/benchmarks/terminal-bench) | 44.3% | #21 of 41, top 52% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

GPT-5-Codex Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 70.3% | #23 of 99, top 24% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |

## API pricing by provider

GPT-5-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) | $1.25 | $10 | $0.13 | 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-Codex

-   [GPT-5-Codex vs Olmo 3.1 32b Think](https://noometry.com/compare/gpt-5-codex-vs-olmo-3-1-32b-think)
-   [GPT-5-Codex vs Hunyuan Standard 2025 02 10](https://noometry.com/compare/gpt-5-codex-vs-hunyuan-standard)
-   [GPT-5-Codex vs Qwen3-Coder 480B-A35B Instruct](https://noometry.com/compare/gpt-5-codex-vs-qwen3-coder-480b-a35b-instruct)
-   [GPT-5-Codex vs Gemini 2.0 Flash-Lite](https://noometry.com/compare/gemini-2-0-flash-lite-vs-gpt-5-codex)
-   [GPT-5-Codex vs Nova Premier 1.0](https://noometry.com/compare/gpt-5-codex-vs-nova-premier-1-0)
-   [GPT-5-Codex vs DeepSeek-R1-Distill-Llama-70B](https://noometry.com/compare/deepseek-r1-distill-llama-70b-vs-gpt-5-codex)
-   [GPT-5-Codex vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gpt-5-codex)
-   [GPT-5-Codex vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-gpt-5-codex)
-   [GPT-5-Codex vs Kimi K3](https://noometry.com/compare/gpt-5-codex-vs-kimi-k3)
-   [GPT-5-Codex vs Grok 4.6](https://noometry.com/compare/gpt-5-codex-vs-grok-4-6)
-   [GPT-5-Codex vs Qwen3.8 Max](https://noometry.com/compare/gpt-5-codex-vs-qwen3-8-max)
-   [GPT-5-Codex vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-gpt-5-codex)
-   [GPT-5-Codex vs Muse Spark 1.3](https://noometry.com/compare/gpt-5-codex-vs-muse-spark-1-3)
-   [GPT-5-Codex vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-gpt-5-codex)

## 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-Codex?

GPT-5-Codex by OpenAI ranks 192nd of 354 ranked models on the Noometry Index as of October 2026, with a score of 37.9. Its strongest category is agentic & tool use, where it ranks 72nd. API pricing starts at $1.25 per million input tokens and $10 per million output tokens, with a 400K-token context window.

### How much does GPT-5-Codex cost?

GPT-5-Codex costs $1.25 per million input tokens and $10 per million output tokens on azure, with cached input at $0.13.

### What is GPT-5-Codex's context window?

GPT-5-Codex accepts up to 400K tokens of input and can write up to 128K tokens in one response.

### Is GPT-5-Codex open source?

No. GPT-5-Codex is proprietary and available only through OpenAI's API and partner platforms.

### How fast is GPT-5-Codex?

GPT-5-Codex generated about 95 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### What are GPT-5-Codex's strengths and weaknesses?

Relative to other ranked models, GPT-5-Codex places best in reasoning and lowest in agentic & tool use.

### What is GPT-5-Codex best at?

Its best category is agentic & tool use, where it ranks 72nd on Noometry.

### Cite this page

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

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