DeepSeek R1 vs Llama 3.1 405B Instruct
At a Glance
| Compare |  DeepSeek R1DeepSeek | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #42 of 570.4 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 0.1–66.8 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.70Openrouter ↗ · Aug 28, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 164K | 131K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-R1 | Llama-3.1-405B-Instruct |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek R1 | Llama 3 1 405b Instruct |
| Model | DeepSeek-R1 | Llama-3.1-405B-Instruct |
| Version | DeepSeek-R1 | Llama-3.1-405B-Instruct |
| Lifecycle | active | active |
| Released | 2025-01-20 | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 164K | 131K |
| Total parameters | 684.5B | 405.9B |
| Active parameters | 37B | Unknown |
| License | mit | llama3.1 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, tools |
DeepSeek R1 Capabilities
Llama 3.1 405B Instruct Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-R1DeepSeek | vs | cross-developer peerstext | |
DeepSeek-R1DeepSeek | vs |  Phi-4-reasoningMicrosoft | cross-developer peerstext |
DeepSeek-R1DeepSeek | vs | DeepSeek-V4-Pro-BaseDeepSeek | family variantstext |
| vs | DeepSeek-R1DeepSeek | cross-developer peerstext | |
| vs | DeepSeek-R1DeepSeek | cross-developer peerstext | |
DeepSeek-R1DeepSeek | vs | DeepSeek-V3DeepSeek | family variantstext |
DeepSeek-R1DeepSeek | vs | DeepSeek-V3.2DeepSeek | family variantstext |
DeepSeek-R1DeepSeek | vs |  Llama-3.1-405BMeta | cross-developer peerstext |
DeepSeek-R1DeepSeek | vs |  Kimi-K2-ThinkingMoonshot AI | cross-developer peerstext |
DeepSeek-R1DeepSeek | vs |  GLM-5Z.ai | cross-developer peerstext |
DeepSeek-R1DeepSeek | vs | GLM-5.1Z.ai | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek R1 vs Llama 3.1 405B Instruct FAQs
Is DeepSeek R1 or Llama 3.1 405B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek R1 and Llama 3.1 405B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek R1 or Llama 3.1 405B Instruct?+
Only DeepSeek R1 has a directly sourced input price: $0.70 per million tokens. Only DeepSeek R1 has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, DeepSeek R1 or Llama 3.1 405B Instruct?+
DeepSeek R1 has the larger sourced context window. DeepSeek R1 supports 163,840 tokens and Llama 3.1 405B Instruct supports 131,072 tokens.
Which performs better in benchmarks, DeepSeek R1 or Llama 3.1 405B Instruct?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek R1 or Llama 3.1 405B Instruct be self-hosted?+
Both models have the same sourced self-hosting status: supported. DeepSeek R1 is open weight; Llama 3.1 405B Instruct is open weight.
Can DeepSeek R1 and Llama 3.1 405B Instruct understand images?+
DeepSeek R1 is not documented with image input; Llama 3.1 405B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek R1 or Llama 3.1 405B Instruct?+
DeepSeek R1 has a sourced maximum output of 32,768 tokens; Llama 3.1 405B Instruct's maximum output is not reported. A larger limit cannot be determined.
Do DeepSeek R1 and Llama 3.1 405B Instruct support reasoning and tool use?+
DeepSeek R1: reasoning. Llama 3.1 405B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek R1 or Llama 3.1 405B Instruct?+
DeepSeek R1 has 2 sourced provider routes; Llama 3.1 405B Instruct has 1, so DeepSeek R1 has broader tracked availability.
Which offers better value, DeepSeek R1 or Llama 3.1 405B Instruct?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.