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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: cerebras_official_pricing
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
DeepSeek R1 Distill Llama 70B on Cerebras is a fast reasoning model for analytical tasks.
deepseek-r1-distill-llama-70b is a Reasoning model from Cerebras (US). HotON.ai tracks it at $2.20 per 1M input tokens and $2.50 per 1M output tokens, with a 8K-token context window. Its composite efficiency score is 87/100 at an estimated $0.006 per successful task.
deepseek-r1-distill-llama-70b is tracked at $2.20 per 1M input tokens and $2.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $2.42 per 1M tokens. Figures are illustrative demo data.
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
deepseek-r1-distill-llama-70b supports up to a 8K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, deepseek-r1-distill-llama-70b is cheaper than 15% of models on input price and ranks #430 of 537 by overall efficiency.
Yes — qwen-plus-2025-07-28:thinking is a lower-cost option at $0.78 per 1M output tokens, while still covering similar Reasoning use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — deepseek-r1-distill-llama-70b (Cerebras): $2.20/1M input, $2.50/1M output, as of 2026-05-10. https://hoton.ai/en/models/cerebras-deepseek-r1-distill-llama-70bPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.