OpenAI · Frontier
OpenAI o3-pro (2025-06-10)
The pro version of the already fantastic o3.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Reasoning effort
- low · medium · high
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $22.00
- Output
- $88.00
- Cache read
- $11.00
Reference prices as published by the model provider. API example
Specifications
- Context window
- 200K
- Max output
- 100K
Side by side
OpenAI o3-pro (2025-06-10) compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| OpenAI o3-pro (2025-06-10)OpenAIThis model | Kimi K2 ThinkingMoonshotRemove | |
|---|---|---|
| Provider | OpenAI | Moonshot |
| Discovery tier | Frontier | Open weights |
| Added | Jan 1, 2024 | Nov 6, 2025 |
| Limits | ||
| Context window | 200K | 262.14KBest |
| Max output | 100KBest | 98.3K |
| Average output | — | 1.9K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $22.00 | $0.60Best |
| Output | $88.00 | $2.50Best |
| Cache read | $11.00 | $0.15Best |
| Performance | ||
| Throughput | — | 78.6 tok/s |
| Time to first token | — | 4.6 s |
| Request success (24h) | — | 99.6% |
| Benchmark indexes | ||
| Intelligence Index | 21.9 | 22.0Best |
| Math Index | — | 94.7 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Structured output | Yes | 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 o3-pro (2025-06-10)
- Kimi K2 Thinking
Intelligence Index
- OpenAI o3-pro (2025-06-10)21.9
- Kimi K2 Thinking22.0
OpenAI o3-pro (2025-06-10): Better than 53% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 94.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 72.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 23.8%
GPQA Diamond
Graduate-level science questions
- OpenAI o3-pro (2025-06-10): 84.5%Top
- Kimi K2 Thinking: 83.8%
MMLU-Pro
Multi-subject knowledge and reasoning
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 84.8%
IFBench
Following precise output instructions
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 68.1%
Coding
LiveCodeBench
Recent competitive programming problems
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 85.3%
Math
AIME 2025
Competition mathematics, 2025 problems
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 94.7%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 31.1%
τ²-Bench Telecom
Tool use in a customer-support simulation
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 93.0%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- OpenAI o3-pro (2025-06-10): —
- Kimi K2 Thinking: 72.0%
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/o3-pro-2025-06-10",
"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/o3-pro-2025-06-10",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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