OpenAI · Balanced
OpenAI o1
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 Outdated compared to the newer o3 and o4 models.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.
| OpenAI o1OpenAIThis model | Kimi K2 0905MoonshotRemove | |
|---|---|---|
| Provider | OpenAI | Moonshot |
| Discovery tier | Balanced | Open weights |
| Added | Jan 1, 2024 | Sep 25, 2025 |
| Limits | ||
| Context window | 200K | 262.14KBest |
| Max output | 100K | 100.35KBest |
| Average output | 28 tokens | 677 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $15.00 | $0.40Best |
| Output | $60.00 | $1.80Best |
| Cache read | $7.50 | — |
| Performance | ||
| Throughput | — | 55.2 tok/s |
| Time to first token | — | 3.2 s |
| Request success (24h) | — | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 15.2 | 15.3Best |
| Coding Index | 39.7 | — |
| Math Index | — | 57.3 |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | No | Yes |
| Structured output | No | Yes |
| Reasoning effort | low, medium, high | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- OpenAI o1
- Kimi K2 0905
Intelligence Index
- OpenAI o115.2
- Kimi K2 090515.3
OpenAI o1: Better than 38% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- OpenAI o1: 39.7
- Kimi K2 0905: —
Math Index
Composite of the math evaluations
- OpenAI o1: —
- Kimi K2 0905: 57.3
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- OpenAI o1: 65.0%Top
- Kimi K2 0905: 53.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- OpenAI o1: 7.0%Top
- Kimi K2 0905: 6.4%
GPQA Diamond
Graduate-level science questions
- OpenAI o1: 74.7%
- Kimi K2 0905: 76.7%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- OpenAI o1: 84.1%Top
- Kimi K2 0905: 81.9%
IFBench
Following precise output instructions
- OpenAI o1: 70.3%Top
- Kimi K2 0905: 41.7%
Coding
LiveCodeBench
Recent competitive programming problems
- OpenAI o1: 67.9%Top
- Kimi K2 0905: 61.0%
Math
AIME 2025
Competition mathematics, 2025 problems
- OpenAI o1: —
- Kimi K2 0905: 57.3%
AIME
Competition mathematics
- OpenAI o1: 72.3%
- Kimi K2 0905: —
MATH-500
Competition math problems
- OpenAI o1: 97.0%
- Kimi K2 0905: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- OpenAI o1: 12.9%
- Kimi K2 0905: 23.5%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- OpenAI o1: 62.6%
- Kimi K2 0905: 73.4%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- OpenAI o1: 65.0%Top
- Kimi K2 0905: 53.0%
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.
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
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