

DeepSeek and Groq are both Large Language Models tools. Compare features, pricing, and ratings below to find the best fit for your team.
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Chain-of-thought reasoning solves multi-step financial models in spreadsheet via API. Open-source architecture lets compliance teams audit exactly how each answer was reached.
Run on local infrastructure for high-volume APIs. At $0.14/million tokens versus $15 for LLM, startups process millions of queries monthly without vendor lock-in.
Multimodal feature parses documents containing tables and images within internal wiki. Liability clauses and compliance gaps extract with visual context - no separate image-to-text.
Groq's LPU delivers Llama 3 inference at 750+ tokens per second, enabling pipelines where Whisper transcription feeds directly into an LLM analysis step with a total round-trip under 500ms.
Groq's time-to-first-token under 100ms enables natural-feeling voice conversational interfaces where LLM response latency is the bottleneck, not TTS or ASR.
Groq's per-token cost on Llama 3 8B is under $0.06 per million tokens, making high-volume classification or extraction tasks that previously required GPU servers economically viable via API.
Best for: Get free access to DeepSeek V3 & R1 via web and mobile
Best for: For custom pricing, contact sales
Best for: 14,400 req/day is enough for dev and low-traffic apps - start here before paying anything.
12 differences found across 33 standardized features
Evaluative strengths and weaknesses: not feature lists
Groq added a new "Developer" plan (Custom pricing)
Plan added · May 30, 2026
Groq removed the "Pay-as-you-go" plan
Plan removed · May 30, 2026
Plan removed · May 21, 2026
Plan added · May 21, 2026
Groq added a new "Enterprise" plan
Plan added · May 21, 2026