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DeepSeek R1 Distill Llama 70B API pricing on Novita AI

Every Novita AI DeepSeek R1 Distill Llama 70B rate we track, compared against 3 providers serving the same model.

Input from /1M
$0.800
Output /1M
$0.800
Price rank
#1 of 3
Last updated
September 1, 2026

Novita AI currently has the cheapest DeepSeek R1 Distill Llama 70B input price among the 3 providers we track.

Novita AI DeepSeek R1 Distill Llama 70B rates

Prices per 1M tokens. Batch and cached-input rates are shown where the provider publishes them.

Novita AI DeepSeek R1 Distill Llama 70B pricing by mode
ModeInputOutput
Standard$0.800/1M$0.800/1M

About DeepSeek R1 Distill Llama 70B

Creator
DeepSeek
Modalities
text
Full DeepSeek R1 Distill Llama 70B details and every provider →

DeepSeek R1 Distill Llama 70B on other providers

About Novita AI

Novita AI is an inference platform serving 200+ models through a single OpenAI-compatible API, alongside serverless GPU jobs, on-demand GPU instances, and bare-metal clusters. Its catalogue is weighted toward open-weight families — Qwen, DeepSeek, GLM, Kimi, MiniMax, Llama and Gemma — with per-token billing and prompt caching on most chat models.

Frequently Asked Questions

How much does DeepSeek R1 Distill Llama 70B cost on Novita AI?

Novita AI serves DeepSeek R1 Distill Llama 70B from $0.800 per 1M input tokens, across 1 tracked pricing mode. Prices are collected daily — see the table above for current input, output, and cached-input rates.

Is Novita AI the cheapest way to run DeepSeek R1 Distill Llama 70B?

Of the 3 providers we track serving DeepSeek R1 Distill Llama 70B, Novita AI currently has the lowest input price. Rates change often, and throughput and latency differ between providers — check the comparison above before committing.

Does Novita AI offer batch or cached pricing for DeepSeek R1 Distill Llama 70B?

We track 1 DeepSeek R1 Distill Llama 70B offering from Novita AI. Batch and cached-input rates appear in the table above when the provider publishes them; blank cells mean we have no current figure for that mode.