R1
DeepSeek • text->text
Context Window64K
Knowledge CutoffJan 20, 2025
R1 vs o1
o1 for highest reasoning quality in OpenAI stack, DeepSeek R1 for open-weight and cost-efficient reasoning.
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o1
OpenAI • text+image+file->text
Context Window200K
Knowledge CutoffDec 17, 2024
Editorial Verdict
DeepSeek R1 is the open, transparent reasoning model; o1 is OpenAI's mature reasoning ecosystem.
DeepSeek R1 and o1 are both reasoning-focused models designed for hard problems, but R1 is an open model while o1 is OpenAI's first-generation reasoning model. DeepSeek R1 often matches or exceeds o1 on math and science benchmarks while being completely open. o1 has the advantage of OpenAI's ecosystem and mature API. DeepSeek R1 is the better choice for transparency and cost; o1 is the better choice for ecosystem integration.
R1
- Matches or exceeds o1 on math, coding, and science reasoning benchmarks
- Open weights and transparent reasoning chain — fully auditable
- Significantly lower API cost than o1 for comparable reasoning quality
Best for: Open-source deployments, budget-conscious reasoning tasks, and transparency requirements
o1
- First-generation reasoning model with proven production track record
- Mature API with reliable function calling and structured output
- Access to OpenAI's ecosystem, fine-tuning, and enterprise support
Best for: Enterprise reasoning applications requiring OpenAI ecosystem integration
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | R1 | o1 | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $0.70 | $15.00 | 🏆 R1 |
| Output (per 1M tokens) | $2.50 | $60.00 | 🏆 R1 |
| 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.
R1 Total
$62o1 Total
$1,425Estimated Monthly Savings: $1,363 with R1
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
R1MMLU Signal (Reasoning)o1
82%
87%
R1HumanEval Signal (Coding)o1
71%
76%
R1Agentic Tooling Signalo1
79%
84%
R1Multimodal Signalo1
64%
78%
Capabilities Matrix
Feature highlights for architecture and production fit.
R1 Strengths
- Strong tool-calling and structured response support.
- Balanced general-purpose profile for chat, extraction, and automation tasks.
o1 Strengths
- Supports image inputs for multimodal analysis workflows.
- Strong tool-calling and structured response support.
- Large context window for long documents and codebases.
API Implementation
Quick start snippets for each provider style.
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)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)Choose R1 when...
- You rely on function calling, tool chaining, and structured output contracts.
- You want a balanced default for mixed chat and workflow automation workloads.
- You can measure quality with your own benchmark and prompt set.
Choose o1 when...
- Your application includes visual reasoning and image understanding tasks.
- You process large documents or code repositories in a single prompt.
- You rely on function calling, tool chaining, and structured output contracts.
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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