We defaulted to the DeepSeek R1 Distill Llama 70B API — it reasons like R1 without the R1 invoice.
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DeepSeek R1 Distill Llama 70B
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DeepSeek R1 Distill Llama 70B API — R1 Reasoning, Without the 671B Bill
The DeepSeek R1 Distill Llama 70B API distills DeepSeek-R1 chain-of-thought into a dense Llama 3.3 70B — the middle path when an 8B is too light and the full 671B is more than you need.
Between a tiny distill and a 671-billion-parameter flagship sits the sensible default. The DeepSeek R1 Distill Llama 70B API is DeepSeek-R1 reasoning distilled into a dense Llama 3.3 70B model: it keeps the step-by-step chain-of-thought that makes R1 worth using, runs faster and far cheaper than the full model, and stays markedly stronger than the 8B distill on real math and logic. For most reasoning work, the DeepSeek R1 Distill Llama 70B API is the balance point.
You call the DeepSeek R1 Distill Llama 70B API through RouterBase over the OpenAI chat-completions protocol; set the model to deepseek-r1-distill-llama-70b and your client is done. The DeepSeek R1 Distill Llama 70B API bills a flat $0.80 per 1M tokens, input and output alike, 5% under list, on the same key that reaches the whole catalog.
Why the DeepSeek R1 Distill Llama 70B API is a sensible default
Enough depth for real reasoning, at a price you can leave running.
The balanced distill
Stronger than the 8B, cheaper and faster than the 671B — the DeepSeek R1 Distill Llama 70B API is the middle path most reasoning workloads actually want.
R1 chain-of-thought
Distilled from DeepSeek-R1, the DeepSeek R1 Distill Llama 70B API thinks step by step and streams the trace, so you read the reasoning, not just the result.
Dense Llama 3.3 70B
A dense 70B backbone gives the DeepSeek R1 Distill Llama 70B API steady latency and strong math and logic, with no mixture-of-experts to schedule.
Flat $0.80 per 1M
Input and output cost the same — the DeepSeek R1 Distill Llama 70B API bills one predictable rate, 5% below list, easy to forecast at scale.
Open weights
DeepSeek-R1-Distill-Llama-70B is open-weight; evaluate it yourself, then let the DeepSeek R1 Distill Llama 70B API host it with no GPUs to run.
OpenAI-shaped
One chat-completions endpoint, one RouterBase key — point at routerbase.com/v1, name the model, skip the DeepSeek SDK.
Wire it up
First call to the DeepSeek R1 Distill Llama 70B API in three steps
Key to chain-of-thought in a few minutes.
Create a key
One RouterBase key reaches the DeepSeek R1 Distill Llama 70B API and every other model in the catalog.
Point and name
Send any OpenAI client to routerbase.com/v1 with model=deepseek/deepseek-r1-distill-llama-70b. Streaming and the reasoning trace are on by default.
Read the trace
The chain-of-thought arrives beside the answer; usage returns per response so cost stays visible.
Pay only for what you use
RouterBase passes through partner-tier pricing. Compared against the model's official published API rate.
Teams defaulting to the DeepSeek R1 Distill Llama 70B API
The balance point, running at scale.
The 8B was too light for our math, the 671B too pricey to leave on. The DeepSeek R1 Distill Llama 70B API hit the middle exactly.
Dense 70B means predictable latency; the DeepSeek R1 Distill Llama 70B API never surprises our SLOs.
Flat $0.80 in and out makes forecasting trivial — no in/out ratio math at month end.
The streamed chain-of-thought from the DeepSeek R1 Distill Llama 70B API is good enough that we keep it verbatim.
Open weights let us benchmark against the 671B, then the DeepSeek R1 Distill Llama 70B API let us ship the cheaper one.
One RouterBase key, and we A/B the DeepSeek R1 Distill Llama 70B API against Sonnet by changing a single field.
We moved everyday reasoning to the DeepSeek R1 Distill Llama 70B API and our cost per task dropped without a quality complaint.
The DeepSeek R1 Distill Llama 70B API is the reasoning model we reach for first now — enough depth, sane price.
DeepSeek R1 Distill Llama 70B API — common questions
What to weigh before you make it your default.
RouterBase's hosted access to DeepSeek-R1-Distill-Llama-70B — DeepSeek-R1 reasoning distilled into a dense Llama 3.3 70B model, over an OpenAI-compatible endpoint.