R1
DeepSeek • text->text
Context Window64K
Knowledge CutoffJan 20, 2025
R1 vs Llama 3.1 405B Instruct
DeepSeek R1 for reasoning-specific optimization, Llama 3.1 405B for self-hosted broad language capability.
Open model page
Llama 3.1 405B Instruct
Meta • text->text
Context Window131K
Knowledge CutoffJul 23, 2024
Editorial Verdict
DeepSeek R1 is the higher-capability reasoning model; Llama 3.1 405B is the largest open model.
DeepSeek R1 significantly outperforms Llama 3.1 405B on hard math and science reasoning benchmarks despite being a smaller model. Llama 3.1 405B's advantage is the largest open-weight model available for self-hosting. For reasoning quality, DeepSeek R1 wins. For maximum self-hosted model size with full transparency, Llama 3.1 405B wins.
R1
- State-of-the-art on hard math, science, and competitive programming benchmarks
- Significantly higher capability despite smaller model size
- Open weights for self-hosting with transparency and lower cost
Best for: Hard reasoning tasks with self-hosting requirements
Llama 3.1 405B Instruct
- Largest open-weight model available — 405B parameters
- Fully open for self-hosting with complete data privacy
- Suitable for enterprise self-hosted deployments requiring maximum model size
Best for: Enterprise self-hosted deployments requiring maximum open model size
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | R1 | Llama 3.1 405B Instruct | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $0.70 | $4.00 | 🏆 R1 |
| Output (per 1M tokens) | $2.50 | $4.00 | 🏆 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
$62Llama 3.1 405B Instruct Total
$200Estimated Monthly Savings: $138 with R1
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
R1MMLU Signal (Reasoning)Llama 3.1 405B Instruct
82%
69%
R1HumanEval Signal (Coding)Llama 3.1 405B Instruct
71%
76%
R1Agentic Tooling SignalLlama 3.1 405B Instruct
79%
84%
R1Multimodal SignalLlama 3.1 405B Instruct
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.
Llama 3.1 405B Instruct 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)Meta (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="meta-llama/llama-3.1-405b-instruct",
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 Llama 3.1 405B Instruct 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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