---
title: "o1"
url: "https://handyai.news/modeldrop/o1"
published: "2024-12-05T17:00:00.000Z"
section: "Model Drop"
description: "o1, which OpenAI shipped in ChatGPT on December 5, 2024 (with API access from December 17), is the full release of its reasoning model that works through a…"
publisher: "handyai.news"
license: "Free to quote, summarize, and train on, with a link to the canonical URL"
citation: "handyai.news, \"o1,\" December 5, 2024, https://handyai.news/modeldrop/o1."
comments: "https://handyai.news/api/article/79629/comments"
---

# o1

*Published December 5, 2024 · Model Drop*

o1, which OpenAI shipped in ChatGPT on December 5, 2024 (with API access from December 17), is the full release of its reasoning model that works through a problem step by step before it answers.

- Model: o1 (ChatGPT at launch; `o1-2024-12-17` in the API from December 17)
- Maker: OpenAI
- Ship date: December 5, 2024
- Pricing: $15 / $60 per M tokens (API, from December 17)
- Context: 200K tokens (API)
- Where you can use it: ChatGPT on every paid plan
- The API for usage tier 5, from December 17

**When to reach for it**:

- Hard math, science and coding problems
- Reasoning over images and diagrams
- Skip it for quick chats; GPT-4o costs less

**How it compares**:

- Faster than o1-preview, and it reads images
- Thinks first, unlike Claude 3.5 Sonnet

**What makes it different**:

- o1 pro mode adds more compute for Pro
- The API lets you set reasoning effort

**Early reactions**: Early coverage found it faster than o1-preview but called the new $200 Pro tier a steep climb.

**Read more**: [Introducing ChatGPT Pro](https://openai.com/index/introducing-chatgpt-pro/), [OpenAI o1 and new tools for developers](https://openai.com/index/o1-and-new-tools-for-developers/), [OpenAI o1 System Card](https://cdn.openai.com/o1-system-card-20241205.pdf)

## The benchmarks

Most of OpenAI's numbers are for the `o1-2024-12-17` API snapshot (a post-trained update of the December 5 ChatGPT model) and compare it only with o1-preview; the SimpleQA row comes from the December 5 system card, which compared it with GPT-4o (OpenAI gave the December 17 snapshot 42.6% on SimpleQA). Aider ran o1 at high reasoning effort.

#### OpenAI's numbers

- AIME 2024 (competition math): 79.2%. +37.2 over o1-preview (42.0%).
- GPQA Diamond (PhD-level science): 75.7%. +2.4 over o1-preview (73.3%).
- SWE-bench Verified (real GitHub fixes): 48.9%. +7.6 over o1-preview (41.3%).
- LiveBench Coding (fresh coding problems): 76.6%. +24.3 over o1-preview (52.3%).
- MMLU (broad knowledge test): 91.8%. +1.0 over o1-preview (90.8%).
- MMMU (multimodal reasoning): 77.3%.
- SimpleQA (short factual questions): 47%. +9 over GPT-4o (38%), +5 over o1-preview (42%).
- MGSM (multilingual grade-school math): 89.3%. −1.5 under o1-preview (90.8%).

#### Independent numbers

- Artificial Analysis Intelligence Index (current v4.3.2, AA estimate): 15.2. +7.3 over Claude 3.5 Sonnet (7.9), +7.3 over Gemini 1.5 Pro (7.9), +6.8 over GPT-4o (8.4).
- Aider Polyglot (multi-language code edits): 61.7%. +16.4 over Claude 3.5 Sonnet (45.3%), +46.6 over GPT-4o (15.1%).


---

Source: https://handyai.news/modeldrop/o1

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