DeepSeek: R1 Distill Llama 70B
Catalog snapshot on AI Hippo. This model is discoverable on-site even when it is not currently included in the global ranking list.
Data updated:
Model
1 verified sources
Next steps on AI Hippo
Open weights snapshot
deepseek-ai/deepseek-r1-distill-llama-70b
Task text-generation
- Downloads
- 930.8k
- Likes
- 788
- Parameters
- 0B
This model is currently available from the catalog snapshot and may not be included in the latest ranked board yet.
About this model
DeepSeek: R1 Distill Llama 70B is listed in our model catalog as a LLM model with 8,192 ctx and a snapshot average price around $0.80 per 1M tokens. The tables below summarize the latest catalog snapshot; use Compare or the Token hub to dig deeper.
You can also explore more models from DeepSeek , and browse more options from 🇨🇳 China .
Capabilities & specs
- Modality
- text->text
- Input modalities
- text
- Knowledge cutoff
- 2024-07-31
- Supported API parameters
- frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, top_k, top_p
Catalog description: 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...
Token pricing by provider
Compare per-provider token prices for this model across available platforms.
| Provider | Input / 1M tokens | Output / 1M tokens | Latency | Status |
|---|---|---|---|---|
| DeepSeek | $0.80 | $0.80 | — | Snapshot · 2026-08-02 |
| OpenRouter | $0.80 | $0.80 | — | Verified · 2026-08-02 |
Provider prices are sourced from the token comparison dataset and may change between snapshots.
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FAQ
Why is the official price missing?
Official rows require a verified direct vendor or cloud API price. When only aggregators list a model, the Official column shows — and verified aggregator quotes appear in the token table.
How is context different from max output tokens?
Context window is how much input the model can accept in a single request. Max output tokens is the per-response generation cap from the primary listing—often much smaller than the context window.
Where do multi-provider prices come from?
Prices are crawled or synced from token providers (OpenRouter, Groq, Together, and others) and merged into the infrastructure comparison dataset. Verified rows show a fetch date in the status column.
Data source & methodology
- Source
- OpenRouter catalog, verified vendor crawls, and Hugging Face hub snapshots.
- Metrics
- Context window, blended 1M-token price, max output tokens, and capability fields from the OpenRouter models API.
- Update cadence
- Daily pipeline refresh; provider prices may change between snapshots.
- Fetched at
- 2026-08-02
- Method
- Composite rank uses on-site context × price weighting (not LMSYS Arena ELO).