DeepSeek R1 vs Llama 3.3 70B Instruct
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: DeepSeek R1 or Llama 3.3 70B Instruct?
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 | $0.12 | Llama 3.3 70B Instruct is 4.6x cheaper |
| Output Cost / 1M Tokens | $2.19 | $0.30 | Llama 3.3 70B Instruct (86.3% lower) |
| Prompt Cache Read / 1M | $0.140 | $0.030 | Llama 3.3 70B Instruct is 4.7x cheaper |
| Prompt Cache Write / 1M | $0.55 | $0.12 | Llama 3.3 70B Instruct is 4.6x cheaper |
| Avg TTFT Response Latency | 1800ms | 450ms | Llama 3.3 70B Instruct (+1350ms faster) |
| SWE-bench Verified (Coding) | 49.2% | 42.5% | DeepSeek R1 (+6.7% lead) |
| Inference Value Score (IVR) | 64.5 / 100 | 76.6 / 100 | Llama 3.3 70B Instruct (+12.1 pts) |
Interactive Monthly Token Economics & ROI Forecaster
Model your expected production workload across prompt (input) and completion (output) tokens with prompt caching economics.
Estimated Monthly Spend
$0.55/1M in · $2.19/1M out
Prompt Cache: $0.140/1M read · $0.55/1M write
$0.12/1M in · $0.30/1M out
Prompt Cache: $0.030/1M read · $0.12/1M write
When to Choose DeepSeek R1
Choose DeepSeek-R1 when you need Ultra-cost-effective open-weights reasoning for complex math derivation, competitive programming, and localized agent verification. and have an infrastructure budget aligned with $0.55/1M tokens.
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 R1 or Llama 3.3 70B Instruct?
Llama 3.3 70B Instruct is cheaper at $0.12/1M 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 450ms vs 1800ms for DeepSeek R1.
When should you choose DeepSeek R1?
Choose DeepSeek-R1 when you need Ultra-cost-effective open-weights reasoning for complex math derivation, competitive programming, and localized agent verification. and have an infrastructure budget aligned with $0.55/1M 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.