---
title: "o1 Benchmarks - RankedAGI"
description: "Detailed benchmark and metadata record for o1."
source: "https://rankedagi.com/models/o1"
---

# o1

| Field | Value |
| --- | --- |
| Organization | OpenAI |
| License | Proprietary |
| Version | Latest |
| Released | 2024-12-17 |
| Context window | 200K |
| Knowledge cutoff | 2023-10-01 |
| Input cost per million tokens | $15 |
| Output cost per million tokens | $60 |
| Cached input cost per million tokens | $7.5 |
| Model ID | o1 |
| Last updated | 2026-05-04T00:13:11.660Z |

## Benchmarks

| Benchmark | Category | Value | Description | Source |
| --- | --- | --- | --- | --- |
| RankedAGI Coding | coding | 48.6% | RankedAGI Coding Score |  |
| SWEBench Verified | coding | 41.0% | Agentic Coding | https://www.swebench.com/index.html |
| RankedAGI Agentic | Agents | 37.7% | RankedAGI Agentic Score |  |
| LiveCodeBench v5 | coding | 78.3% | LiveCodeBench - Evaluation of Large Language Models for Code |  |
| ChatArena (LMSYS) | coding | 1331 | ChatArena (LMSYS) Coding ELO Score with Style Control |  |
| Codeforces ELO Score | coding | 1891 | Codeforces ELO Score |  |
| Aider Polyglot | coding | 61.7% | Aider Polyglot Code Completion Benchmark |  |
| LiveBench Coding Score (old) | coding | 69.7% | LiveBench Coding Score old version |  |
| RankedAGI Reasoning | reasoning | 47.0% | RankedAGI Reasoning Score |  |
| Humanity's Last Exam | reasoning | 8.8% | Multidisciplinary Reasoning (no tools) |  |
| GPQA Diamond | reasoning | 76.0% | Generalized Prefix Question Answering Score (Reasoning) PhD Level Reasoning |  |
| Text Arena | general | 1388 | ChatArena (LMSYS) ELO Score | https://arena.ai/leaderboard/text |
| AIME 2025 | math | 79.0% | AIME 2025 Competition Math |  |
| AIME 2024 | math | 83.3% | AIME 2024 Competition Math |  |
| NYT Connections Extended | reasoning | 70.8% | NYT Connections Extended Version | https://github.com/lechmazur/nyt-connections/ |
| Hughes Hallucination Evaluation | safety | 2.4% | Computed using Vectara's Hallucination Evaluation Model, also known as HHEM. This evaluates how often an LLM introduces hallucinations when summarizing a document. | https://github.com/vectara/hallucination-leaderboard |
| AidanBench | general | 3204 | AidanBench Score |  |
| LiveBench Average | general | 73.5% | LiveBench Average Score old version |  |
| LiveBench Data Analysis | general | 65.5% | LiveBench Data Analysis Score | https://livebench.ai/ |
| LiveBench Language | general | 65.4% | LiveBench Language Score | https://livebench.ai/ |
| Artificial Analysis Quality Index | general | 90 | Artificial Analysis Quality Index (third-party composite, deprecated) |  |
| RankedAGI Math | math | 65.8% | RankedAGI Math Score |  |
| RankedAGI Overall | general | 47.7% | Overall RankedAGI score |  |