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

# o1 mini

| Field | Value |
| --- | --- |
| Organization | OpenAI |
| License | Proprietary |
| Version | Latest |
| Released | 2024-09-12 |
| Context window | 128K |
| Knowledge cutoff | 2023-10-01 |
| Input cost per million tokens | $3 |
| Output cost per million tokens | $12 |
| Model ID | o1-mini |
| Last updated | 2026-05-04T00:13:11.660Z |

## Benchmarks

| Benchmark | Category | Value | Description | Source |
| --- | --- | --- | --- | --- |
| RankedAGI Coding | coding | 43.6% | RankedAGI Coding Score |  |
| SWEBench Verified | coding | 35.0% | Agentic Coding | https://www.swebench.com/index.html |
| RankedAGI Agentic | Agents | 34.2% | RankedAGI Agentic Score |  |
| LiveCodeBench v5 | coding | 68.4% | LiveCodeBench - Evaluation of Large Language Models for Code |  |
| ChatArena (LMSYS) | coding | 1292 | ChatArena (LMSYS) Coding ELO Score with Style Control |  |
| Codeforces ELO Score | coding | 1650 | Codeforces ELO Score |  |
| Aider Polyglot | coding | 32.9% | Aider Polyglot Code Completion Benchmark |  |
| LiveBench Coding Score (old) | coding | 48.0% | LiveBench Coding Score old version |  |
| RankedAGI Reasoning | reasoning | 42.0% | RankedAGI Reasoning Score |  |
| GPQA Diamond | reasoning | 60.0% | Generalized Prefix Question Answering Score (Reasoning) PhD Level Reasoning |  |
| Text Arena | general | 1308 | ChatArena (LMSYS) ELO Score | https://arena.ai/leaderboard/text |
| AIME 2024 | math | 63.6% | AIME 2024 Competition Math |  |
| HumanEval | coding | 92.4% | HumanEval coding benchmark |  |
| HumanEval+ | coding | 89.0% | HumanEval+ benchmark |  |
| NYT Connections Extended | reasoning | 26.4% | NYT Connections Extended Version | https://github.com/lechmazur/nyt-connections/ |
| MMLU Pro | knowledge | 80.3% | Graduate-level visual problem-solving |  |
| MMLU | knowledge | 85.0% | Image Reasoning |  |
| Hughes Hallucination Evaluation | safety | 1.4% | 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 | 1577 | AidanBench Score |  |
| LiveBench Average | general | 53.4% | LiveBench Average Score old version |  |
| LiveBench Data Analysis | general | 54.1% | LiveBench Data Analysis Score | https://livebench.ai/ |
| LiveBench Language | general | 40.9% | LiveBench Language Score | https://livebench.ai/ |
| Artificial Analysis Quality Index | general | 82 | Artificial Analysis Quality Index (third-party composite, deprecated) |  |
| RankedAGI Math | math | 53.1% | RankedAGI Math Score |  |
| RankedAGI Overall | general | 43.9% | Overall RankedAGI score |  |