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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 Outdated compared to the newer o3 and o4 models.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 modelGLM 4.7 Flash ThinkingZ.aiRemove
ProviderOpenAIZ.ai
Discovery tierBalancedOpen weights
AddedJan 1, 2024Jan 19, 2026
Limits
Context window200K200K
Max output100K128KBest
Average output28 tokens2.3K tokens
Pricing, USD per 1M tokens
Input$15.00$0.07Best
Output$60.00$0.40Best
Cache read$7.50$0.01Best
Performance
Throughput—43.1 tok/s
Time to first token—6.6 s
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index15.2Best14.9
Coding Index39.7—
Capabilities
ReasoningYesYes
ToolsNoYes
Reasoning effortlow, medium, high—

Public evaluations

Benchmarks

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

  • OpenAI o1
  • GLM 4.7 Flash Thinking

Intelligence Index

  • OpenAI o115.2
  • GLM 4.7 Flash Thinking14.9

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
    • GLM 4.7 Flash Thinking: —

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • OpenAI o1: 65.0%Top
    • GLM 4.7 Flash Thinking: 41.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • OpenAI o1: 7.0%
    • GLM 4.7 Flash Thinking: 7.6%Top

  • GPQA Diamond

    Graduate-level science questions

    • OpenAI o1: 74.7%Top
    • GLM 4.7 Flash Thinking: 58.1%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • OpenAI o1: 84.1%
    • GLM 4.7 Flash Thinking: —

  • IFBench

    Following precise output instructions

    • OpenAI o1: 70.3%Top
    • GLM 4.7 Flash Thinking: 60.8%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • OpenAI o1: 67.9%
    • GLM 4.7 Flash Thinking: —

Math

  • AIME

    Competition mathematics

    • OpenAI o1: 72.3%
    • GLM 4.7 Flash Thinking: —

  • MATH-500

    Competition math problems

    • OpenAI o1: 97.0%
    • GLM 4.7 Flash Thinking: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • OpenAI o1: 12.9%
    • GLM 4.7 Flash Thinking: 22.0%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • OpenAI o1: 62.6%
    • GLM 4.7 Flash Thinking: 98.8%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • OpenAI o1: 65.0%Top
    • GLM 4.7 Flash Thinking: 41.7%

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.