Which model is better: DeepSeek V3 or Llama 3.3 70B Instruct?

**Llama 3.3 70B Instruct delivers superior cost-efficiency and coding performance, while DeepSeek V3 leads in responsiveness.** Llama 3.3 is 14.3% cheaper for inputs ($0.12 vs. $0.14 per 1M) and leads SWE-bench at 42.5% versus 42.0%. Conversely, DeepSeek V3 provides lower latency at 410ms TTFT (40ms faster) and cheaper $0.28 versus $0.30 output tokens.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta

Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.

Metric / Dimension DeepSeek V3 Llama 3.3 70B Instruct Net Delta / Advantage
Input Cost / 1M Tokens $0.14 $0.12 Llama 3.3 70B Instruct is 1.2x cheaper
Output Cost / 1M Tokens $0.28 $0.30 DeepSeek V3 (6.7% lower)
Prompt Cache Read / 1M $0.014 $0.030 DeepSeek V3 is 2.1x cheaper
Prompt Cache Write / 1M $0.14 $0.12 Llama 3.3 70B Instruct is 1.2x cheaper
Avg TTFT Response Latency 410ms 450ms DeepSeek V3 (+40ms faster)
SWE-bench Verified (Coding) 42% 42.5% Llama 3.3 70B Instruct (+0.5% lead)
Inference Value Score (IVR) 75.9 / 100 76.6 / 100 Llama 3.3 70B Instruct (+0.7 pts)

Interactive Monthly Token Economics & ROI Forecaster

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

Live Calculation Engine
10.0M Tokens
100K 50M 250M 500M+
2.5M Tokens
100K 10M 50M 100M+

Estimated Monthly Spend

DeepSeek V3 $2.10

$0.14/1M in · $0.28/1M out

Prompt Cache: $0.014/1M read · $0.14/1M write

Llama 3.3 70B Instruct $1.95

$0.12/1M in · $0.30/1M out

Prompt Cache: $0.030/1M read · $0.12/1M write

Projected Monthly Cost Reduction
$0.15 / mo
(7.1% lower cost with Llama 3.3 70B Instruct)
A

When to Choose DeepSeek V3

Choose DeepSeek V3 when you need Massive mixture-of-experts generalist model offering industry-leading price-to-performance efficiency for production chat and drafting. and have an infrastructure budget aligned with $0.14/1M tokens.

B

When to Choose Llama 3.3 70B Instruct

Choose Llama 3.3 70B Instruct when you need Cost-optimized on-premise deployments, fast text transformation, structured entity extraction, and enterprise dialogue pipelines. and prioritize Meta ecosystem integration at $0.12/1M tokens.

Related Questions & Decision Factors

Which is cheaper: DeepSeek V3 or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is cheaper at $0.12/1M input tokens compared to $0.14/1M for DeepSeek V3.

Which model has lower latency: DeepSeek V3 or Llama 3.3 70B Instruct?

DeepSeek V3 delivers faster response times with an average TTFT of 410ms vs 450ms for Llama 3.3 70B Instruct.

When should you choose DeepSeek V3?

Choose DeepSeek V3 when you need Massive mixture-of-experts generalist model offering industry-leading price-to-performance efficiency for production chat and drafting. and have an infrastructure budget aligned with $0.14/1M tokens.

When should you choose Llama 3.3 70B Instruct?

Choose Llama 3.3 70B Instruct when you need Cost-optimized on-premise deployments, fast text transformation, structured entity extraction, and enterprise dialogue pipelines. and prioritize Meta ecosystem integration at $0.12/1M tokens.

Explore Related Model Matchups