Compare DeepSeek R1 Distill Llama 70B from DeepSeek and DeepSeek V4 Flash from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek R1 Distill Llama 70BDeepSeek V4 FlashProvided by Groq, the DeepSeek-R1-Distill model is fine-tuned based on an open-source model, using samples generated by DeepSeek-R1. We have made slight modifications to their configurations and tokenizers. Please use our settings to run these models.
(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
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DeepSeek V4 Flash: $0.284/M output tokens; DeepSeek R1 Distill Llama 70B: $1.6/M. Use the cost calculator above to estimate your own workload.
DeepSeek V4 Flash: 1.0s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek R1 Distill Llama 70B at 101.4 tok/s and DeepSeek V4 Flash at 66.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek R1 Distill Llama 70B accepts text input and supports thinking; DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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