R1
DeepSeek • text->text
Context Window64K
Knowledge CutoffJan 20, 2025
R1 vs DeepSeek V3 0324
DeepSeek R1 for chain-of-thought reasoning tasks, DeepSeek V3 for general-purpose open-weight language.
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DeepSeek V3 0324
DeepSeek • text->text
Context Window164K
Knowledge CutoffMar 24, 2025
Editorial Verdict
DeepSeek R1 is the reasoning specialist; DeepSeek V3 is the versatile general-purpose model.
DeepSeek R1 and DeepSeek V3 are both DeepSeek models but serve different purposes. R1 is a reasoning specialist optimized for hard math and science problems with visible chain-of-thought. V3 is a general-purpose model with strong performance across coding, reasoning, and standard NLP tasks. For hard reasoning problems, choose R1. For general-purpose tasks, choose V3.
R1
- State-of-the-art on hard math, competitive programming, and science benchmarks
- Transparent, visible reasoning chain for auditability
- Open weights for self-hosting with full data control
Best for: Hard math, competitive programming, and science reasoning tasks
DeepSeek V3 0324
- Versatile general-purpose model — excellent at coding, analysis, and standard NLP
- Lower cost than R1 for general-purpose tasks
- Strong performance across diverse task types without reasoning overhead
Best for: General-purpose coding, analysis, and diverse NLP tasks
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | R1 | DeepSeek V3 0324 | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $0.70 | $0.25 | 🏆 DeepSeek V3 0324 |
| Output (per 1M tokens) | $2.50 | $1.00 | 🏆 DeepSeek V3 0324 |
| 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
$62DeepSeek V3 0324 Total
$23.75Estimated Monthly Savings: $38.25 with DeepSeek V3 0324
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
R1MMLU Signal (Reasoning)DeepSeek V3 0324
82%
69%
R1HumanEval Signal (Coding)DeepSeek V3 0324
71%
76%
R1Agentic Tooling SignalDeepSeek V3 0324
79%
84%
R1Multimodal SignalDeepSeek V3 0324
64%
69%
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.
DeepSeek V3 0324 Strengths
- Strong tool-calling and structured response support.
- Balanced general-purpose profile for chat, extraction, and automation tasks.
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)DeepSeek (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="deepseek/deepseek-chat-v3-0324",
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 DeepSeek V3 0324 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.
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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