o1
OpenAI • Reasoning
Context Window200K
Knowledge CutoffUnknown
o1 vs DeepSeek R1
o1 for highest managed reasoning quality, DeepSeek R1 for open-weight and competitive programming use cases.
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DeepSeek R1
DeepSeek • Reasoning
Context Window128K
Knowledge CutoffUnknown
Editorial Verdict
DeepSeek R1 is the open, transparent alternative to o1; o1 is OpenAI's mature reasoning ecosystem.
DeepSeek R1 matches or exceeds o1 on hard math and science benchmarks while being open and significantly cheaper. o1 has the advantage of OpenAI's mature ecosystem and production reliability. For pure reasoning quality and transparency, DeepSeek R1 wins. For ecosystem integration and production support, o1 wins.
o1
- Battle-tested production reasoning model with established reliability
- Mature API with enterprise support and consistent performance
- Access to OpenAI's ecosystem and fine-tuning options
Best for: Enterprise reasoning applications requiring OpenAI ecosystem support
DeepSeek R1
- Matches or exceeds o1 on math and science benchmarks at lower cost
- Open weights for self-hosting and transparency
- Visible reasoning chain for auditability
Best for: Open-source deployments, budget-conscious teams, and transparency requirements
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | o1 | DeepSeek R1 | Winner |
|---|---|---|---|
| Input (per 1M tokens) | Custom | Custom | N/A |
| Output (per 1M tokens) | Custom | Custom | N/A |
| Request fee | N/A | N/A | N/A |
| Image fee | N/A | N/A | N/A |
Cost Estimator
Estimate monthly billing using real OpenRouter prices.
o1 Total
VariableDeepSeek R1 Total
VariableSavings unavailable (pricing not published for one model).
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
o1MMLU Signal (Reasoning)DeepSeek R1
76%
76%
o1HumanEval Signal (Coding)DeepSeek R1
69%
69%
o1Agentic Tooling SignalDeepSeek R1
69%
69%
o1Multimodal SignalDeepSeek R1
69%
69%
Capabilities Matrix
Feature highlights for architecture and production fit.
o1 Strengths
- Large context window for long documents and codebases.
- Balanced general-purpose profile for chat, extraction, and automation tasks.
DeepSeek R1 Strengths
- Balanced general-purpose profile for chat, extraction, and automation tasks.
API Implementation
Quick start snippets for each provider style.
OpenAI (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="openai/o1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)DeepSeek (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="deepseek/deepseek-r1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Choose o1 when...
- You process large documents or code repositories in a single prompt.
- You want a balanced default for mixed chat and workflow automation workloads.
- You can measure quality with your own benchmark and prompt set.
Choose DeepSeek R1 when...
- You want a balanced default for mixed chat and workflow automation workloads.
- You can measure quality with your own benchmark and prompt set.
Frequently Asked Questions
Practical checks before selecting a production model.
Which model is better for coding?
Coding preference depends on your stack and tool-calling needs. Compare the coding signal row, test with your repository tasks, and validate latency in your target region.
Which model is cheaper at scale?
Input and output token pricing can diverge by workload profile. Use the estimator with your monthly request count and token mix to get a realistic cost difference.
Are these official benchmark numbers?
Pricing is live from OpenRouter. Benchmark rows are ModelsAtlas metadata-based signals and should be treated as directional guidance, not official leaderboard scores.
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