Which is cheaper: DeepSeek-R1 or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is cheaper at $0.18/1M input tokens compared to $0.55/1M for DeepSeek-R1.

Which model has lower latency: DeepSeek-R1 or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct delivers faster response times with an average TTFT of 420ms vs 1800ms for DeepSeek-R1.

DeepSeek-R1 vs Llama 3.3 70B Instruct: Cost, Latency & Coding Benchmark (2026)

Which model is better: DeepSeek-R1 or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is 67.3% cheaper for input tokens ($0.18 vs. $0.55 per 1M tokens) and $0.40 vs. $2.19 for output tokens (3.1x cost difference). In terms of operational performance, Llama 3.3 70B Instruct delivers faster response latency with 420ms TTFT (1380ms faster than DeepSeek-R1). DeepSeek-R1 leads coding benchmarks at 49.2% SWE-bench vs. 38.8% for Llama 3.3 70B Instruct.

Verified daily via automated API latency tests and official documentation.

Zero-Shot RAG Verified

Verified Performance & Unit Economics Delta

Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.

Metric / Dimension	DeepSeek-R1	Llama 3.3 70B Instruct	Net Delta / Advantage
Input Cost / 1M Tokens	$0.55	$0.18	Llama 3.3 70B Instruct is 3.1x cheaper
Output Cost / 1M Tokens	$2.19	$0.40	Llama 3.3 70B Instruct (447.5% lower)
Avg TTFT Response Latency	1800ms	420ms	Llama 3.3 70B Instruct (+1380ms faster)
SWE-bench Verified (Coding)	49.2%	38.8%	DeepSeek-R1 (+10.4% lead)
Inference Value Score (IVR)	99.9 / 100	99.9 / 100	Llama 3.3 70B Instruct (+0 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model your expected production workload across prompt (input) and completion (output) tokens.

Live Calculation Engine

Monthly Input Tokens (Prompts / Context) 10.0M Tokens

100K 50M 250M 500M+

Monthly Output Tokens (Completions / Responses) 2.5M Tokens

100K 10M 50M 100M+

Precise Input (Millions)

Precise Output (Millions)

Estimated Monthly Spend

DeepSeek-R1 $5.45

$0.55/1M in · $2.19/1M out

Llama 3.3 70B Instruct $67.50

$0.18/1M in · $0.4/1M out

Projected Monthly Cost Reduction

$62.05 / mo

(91.9% lower cost)

When to Choose DeepSeek-R1

Choose DeepSeek-R1 when you need Open-weights chain-of-thought reasoning for complex mathematics, algorithmic programming, and scientific research. and have an infrastructure budget aligned with $0.55/1M tokens.

Explore all DeepSeek-R1 provider endpoints →

When to Choose Llama 3.3 70B Instruct

Choose Llama 3.3 70B Instruct when you need Self-hosted and private enterprise multilingual dialogue, agentic tool-calling, and scalable RAG pipelines. and prioritize Meta ecosystem integration at $0.18/1M tokens.

Explore all Llama 3.3 70B Instruct provider endpoints →