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OpenAI · Balanced

OpenAI o1

Added Jan 1, 2024

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Use in the app

Useful when tackling complex problems in science, coding, math, and similar fields. Outdated compared to the newer o3 and o4 models.

  • Reasoning
Input
Text
Output
Text
Reasoning effort
low · medium · high
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$15.00
Output
$60.00
Cache read
$7.50

Reference prices as published by the model provider. API example

Specifications

Context window
200K
Max output
100K
Average output (7 days)
28 tokens
Longer than 1% of 468 models

Side by side

OpenAI o1 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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OpenAI o1OpenAIThis modelGPT 6.1 Sol ProOpenAIRemove
ProviderOpenAIOpenAI
Discovery tierBalancedFrontier
AddedJan 1, 2024Sep 29, 2026
Limits
Context window200K1.05MBest
Max output100K128KBest
Average output28 tokens1.2K tokens
Pricing, USD per 1M tokens
Input$15.00$2.00Best
Output$60.00$10.00Best
Cache read$7.50$0.10Best
Cache write—$2.50
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index15.2—
Coding Index39.7—
Capabilities
ReasoningYesYes
ToolsNoYes
VisionNoYes
Structured outputNoYes
PDF inputNoYes
Reasoning effortlow, medium, highlow, medium, high, xhigh, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • OpenAI o1
  • GPT 6.1 Sol Pro

Intelligence Index

  • OpenAI o115.2
  • GPT 6.1 Sol Pro—

OpenAI o1: Better than 38% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • OpenAI o1: 39.7
    • GPT 6.1 Sol Pro: —

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • OpenAI o1: 65.0%
    • GPT 6.1 Sol Pro: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • OpenAI o1: 7.0%
    • GPT 6.1 Sol Pro: —

  • GPQA Diamond

    Graduate-level science questions

    • OpenAI o1: 74.7%
    • GPT 6.1 Sol Pro: —

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • OpenAI o1: 84.1%
    • GPT 6.1 Sol Pro: —

  • IFBench

    Following precise output instructions

    • OpenAI o1: 70.3%
    • GPT 6.1 Sol Pro: —

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • OpenAI o1: 67.9%
    • GPT 6.1 Sol Pro: —

Math

  • AIME

    Competition mathematics

    • OpenAI o1: 72.3%
    • GPT 6.1 Sol Pro: —

  • MATH-500

    Competition math problems

    • OpenAI o1: 97.0%
    • GPT 6.1 Sol Pro: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • OpenAI o1: 12.9%
    • GPT 6.1 Sol Pro: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • OpenAI o1: 62.6%
    • GPT 6.1 Sol Pro: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • OpenAI o1: 65.0%
    • GPT 6.1 Sol Pro: —

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/o1",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="openai/o1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.