TokenMix Research Lab · 2026-04-24

Running DeepSeek on Groq: Latency, Cost, Limits 2026

Groq hosts DeepSeek R1 distilled variants on their LPU (Language Processing Unit) inference platform — delivering 800+ tokens/second on R1-70B distill, ~4-5× faster than standard GPU inference. For reasoning workloads where latency matters, Groq + DeepSeek is a compelling combination. This guide covers available DeepSeek models on Groq, pricing, setup, speed benchmarks vs Cerebras and Together.ai, rate limits, and when Groq makes more sense than DeepSeek's own platform. TokenMix.ai routes DeepSeek via Groq alongside 300+ other models.

Table of Contents

• Confirmed vs Speculation
• DeepSeek Models on Groq
• Pricing
• Setup: 3 Commands
• Speed Benchmarks vs Competitors
• Rate Limits
• FAQ

Confirmed vs Speculation

DeepSeek Models on Groq

Note: Groq doesn't host full DeepSeek R1 (671B) — only distilled variants. For full R1, use DeepSeek direct or TokenMix.ai routing.

Pricing

Compared to DeepSeek's own API ($0.14/$0.28 for V3.2): Groq charges ~3× more on 70B distill but delivers 4-5× the throughput. For speed-critical, worth it.

Setup: 3 Commands

# Get Groq API key at console.groq.com (free tier)
export GROQ_API_KEY="gsk_..."

# Test call
curl https://api.groq.com/openai/v1/chat/completions \
  -H "Authorization: Bearer $GROQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-r1-distill-llama-70b",
    "messages": [{"role":"user","content":"Hello"}]
  }'

Python via OpenAI SDK:

from openai import OpenAI

client = OpenAI(
    api_key="your_groq_key",
    base_url="https://api.groq.com/openai/v1"
)

response = client.chat.completions.create(
    model="deepseek-r1-distill-llama-70b",
    messages=[{"role": "user", "content": "Explain reasoning"}]
)

Response typically returns within 1 second for 500-token responses.

Speed Benchmarks vs Competitors

Running deepseek-r1-distill-llama-70b across providers:

Groq is middle-ground: 2× Together.ai speed, ½ Cerebras speed, comparable price tier.

Rate Limits

Groq tiers:

Free tier's 6,000 TPM is enough for prototyping but will hit quickly in production. Upgrade to Dev tier ($5 minimum spend) unlocks 10× capacity.

FAQ

Is distilled DeepSeek R1 as good as full R1?

No — distilled is weaker. See our benchmarks: R1 Distill 70B at ~80% AIME vs full R1 at 88%. For reasoning-critical work, use full R1 via DeepSeek direct; for speed-first, Groq's distill.

Why would I use Groq instead of DeepSeek direct?

Latency. Groq is 4-8× faster than DeepSeek direct API. For interactive applications (chat, live reasoning), speed matters. For batch / async, use DeepSeek direct for quality + cost.

How does Groq compare to Cerebras for DeepSeek?

Cerebras is ~2× faster than Groq. Groq cheaper on some models + more mature ecosystem + generous free tier. For maximum speed → Cerebras. For best price-performance + generosity → Groq.

Can I use Groq for production?

Yes. Groq has enterprise SLAs available. Pro tier ($50 spend) is enough for most production workloads. For mission-critical, negotiate enterprise contract.

Does Groq support tool use / function calling?

Yes on most models. Standard OpenAI tool schema. Compatible with LangChain, LlamaIndex, agent frameworks.

Is there a full DeepSeek R1 (not distill) on Groq?

Not as of April 2026. Full R1 requires significantly more infrastructure than distills. Groq focuses on what runs efficiently on their LPU architecture.

Can I route DeepSeek through Groq via TokenMix.ai?

Yes — TokenMix.ai supports Groq as one of the backend providers. Configure preference: "Groq when available for speed, DeepSeek direct as fallback".

Sources

• Groq Console
• Groq Models Documentation
• DeepSeek R1 vs V3 — TokenMix
• Groq API Pricing — TokenMix
• Groq Free Tier Limits — TokenMix
• Cerebras API — TokenMix

By TokenMix Research Lab · Updated 2026-04-24