R1
DeepSeek • text->text
Context Window64K
Knowledge CutoffJan 20, 2025
R1 vs Claude 3 Opus
Claude 3 Opus for nuanced long-form analysis, DeepSeek R1 for math-heavy and competitive programming tasks.
Open model page
Claude 3 Opus
Unknown • Unknown
Context WindowUnknown
Knowledge CutoffUnknown
Editorial Verdict
DeepSeek R1 leads on math and science reasoning; Claude 3 Opus leads on nuanced analysis and general reasoning.
DeepSeek R1 and Claude 3 Opus are both top-tier for reasoning tasks, but they take different approaches. R1 uses chain-of-thought reasoning for math and science problems; Claude 3 Opus uses Constitutional AI and broad training for nuanced analysis. For math and science reasoning, DeepSeek R1 leads. For general high-quality analysis, writing, and reasoning over complex documents, Claude 3 Opus leads.
R1
- State-of-the-art math and science reasoning on hard benchmark problems
- Transparent, visible reasoning process
- Open weights and significantly lower cost than Claude 3 Opus
Best for: Math, science, competitive programming, and hard reasoning benchmark tasks
Claude 3 Opus
- Superior nuanced reasoning for open-ended, complex analysis tasks
- 200K context for processing entire document sets or codebases
- More natural conversational outputs without reasoning chain artifacts
Best for: Complex analysis, research synthesis, long-document reasoning, and nuanced outputs
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | R1 | Claude 3 Opus | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $0.70 | Custom | 🏆 R1 |
| Output (per 1M tokens) | $2.50 | Custom | 🏆 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
$62Claude 3 Opus Total
VariableSavings unavailable (pricing not published for one model).
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
R1MMLU Signal (Reasoning)Claude 3 Opus
82%
N/A
R1HumanEval Signal (Coding)Claude 3 Opus
71%
N/A
R1Agentic Tooling SignalClaude 3 Opus
79%
N/A
R1Multimodal SignalClaude 3 Opus
64%
N/A
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.
Claude 3 Opus Strengths
- Live capability metadata is currently unavailable for this model.
- Re-check after the next OpenRouter catalog refresh.
- Use provider docs for exact benchmark claims.
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)Unknown (Python)
# Model metadata unavailable # See provider docs for API usage.
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 Claude 3 Opus when...
- Use Claude 3 Opus when this provider is required by policy constraints.
- Validate performance with your own evaluation set before production rollout.
- Confirm final cost in the provider dashboard for your deployment region.
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.
Related Comparisons
Explore adjacent model matchups.