DeepSeek: R1 Distill Llama 70B
Analysis Summary
DeepSeek R1 Distill Llama 70B is a distilled reasoning model built on a Llama 70B backbone, released by DeepSeek in January 2025. It shows strong mathematical reasoning relative to its price point, with an AIME score above 0.53, but its coding and agentic indices are low, and instruction-following metrics are weak.
For businesses, this model suits math-heavy or analytical tasks where cost is a priority and agentic reliability is not required. It is not well-suited to autonomous workflows, structured content generation, or tool-use pipelines, where its low agentic and ifbench scores would create friction.
At $0.70 input and $0.80 output per million tokens, it is among the more affordable options in this tier. Teams with specific quantitative or analytical workloads on a tight budget may find value here, but most business users will benefit from a more capable general-purpose model.
Assessed June 6, 2026
Editorial notes
DeepSeek R1 Distill Llama 70B is a cost-effective reasoning distillation with strong math performance, priced under $1/1M tokens, but limited agentic and instruction-following capability constrains its business utility.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How DeepSeek: R1 Distill Llama 70B compares
DeepSeek: R1 Distill Llama 70B ranks #215 of 378 AI models we track for overall intelligence, #219 of 315 for coding, #246 of 289 for agentic tasks. Its 128K-token context window is larger than 43% of the models we list. At $0.80 per million input tokens it is cheaper than 27% of comparable models.
About DeepSeek: R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B is a distilled large language model based on Llama-3.3-70B-Instruct, using outputs from DeepSeek R1. The model combines advanced distillation techniques to achieve high performance across..
Architecture Detail
| Instruct Type | deepseek-r1 |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does DeepSeek: R1 Distill Llama 70B stack up?
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Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.80 | $0.000800 |
| Output | $0.80 | $0.000800 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about DeepSeek: R1 Distill Llama 70B
How much does DeepSeek: R1 Distill Llama 70B cost?
DeepSeek: R1 Distill Llama 70B costs $0.80 per million input tokens and $0.80 per million output tokens.
What is the context window of DeepSeek: R1 Distill Llama 70B?
DeepSeek: R1 Distill Llama 70B has a context window of 128,000 tokens (128K).
Is DeepSeek: R1 Distill Llama 70B good for coding?
On our coding benchmark index, DeepSeek: R1 Distill Llama 70B ranks #219 of 315 models, placing it in the broader range of the field for code generation and debugging.
Who created DeepSeek: R1 Distill Llama 70B?
DeepSeek: R1 Distill Llama 70B is developed by DeepSeek and was released on January 23, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 11, 2026 8:38 pm