R1 Distill Llama 70B
DeepSeek • LLM
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
Specifications
Context Window
131K tokens
Input Price/1M
$0.70
Output Price/1M
$1.05
Parameters
—
Speed
47 tok/s
Latency (TTFT)
308ms
Max Output
16K tokens
Benchmarks
R1 Distill Llama 70B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 2.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 31.0 | 100.0 | — |
| LiveCodeBench | 27.0 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 11.4 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 80.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 11.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 93.5 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 54.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 53.7 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 16.0 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 79.5 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 40.0 | 100.0 | Artificial Analysis official API |
| IFBench | 28.0 | 100.0 | — |
| HLE | 6.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 22.0 | 100.0 | — |
Information
- Release date
- January 20, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: R1 Distill Llama 70B
What is R1 Distill Llama 70B?
R1 Distill Llama 70B is an AI model developed by DeepSeek, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 131K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
R1 Distill Llama 70B is usage-based, priced at $0.7/1M input tokens and $1.05/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
R1 Distill Llama 70B was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
R1 Distill Llama 70B is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), high-volume chatbots and automated support, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, R1 Distill Llama 70B competes directly with similarly capable models. DeepSeek competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is R1 Distill Llama 70B?
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
How much does R1 Distill Llama 70B cost?
R1 Distill Llama 70B costs $0.7/1M input tokens and $1.05/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does R1 Distill Llama 70B compare with other models?
In available benchmarks, R1 Distill Llama 70B scored: Terminal-Bench Hard: 2/100, SciCode: 31/100, LiveCodeBench: 27/100. See the full table above for a detailed comparison.
Is R1 Distill Llama 70B open source?
Yes, R1 Distill Llama 70B is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is R1 Distill Llama 70B best for?
R1 Distill Llama 70B excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: June 01, 2026 • View methodology →