DeepSeek Reasoner (R1) vs Llama 3.1 70B

Performance benchmarks + pricing comparison — updated April 2026

DeepSeek Reasoner (R1)

DeepSeek

DeepSeek's reasoning model. Comparable to OpenAI's o1 but at much lower cost.

Input$0.550/M
Output$2.19/M
Context128K tokens
Best ForComplex reasoning, math, advanced coding
Benchmark72/100

Llama 3.1 70B

Meta

Meta's mid-size Llama 3.1. Strong general performance with open weights for custom deployment.

Input$0.200/M
Output$0.400/M
Context128K tokens
Best ForGeneral AI tasks, custom deployment, fine-tuning

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioDeepSeek Reasoner (R1)Llama 3.1 70BSavings
Small Script (1K lines) $0.08 $0.02 Llama 3.1 70B saves $0.07 (78%)
Medium Feature (10K lines) $0.63 $0.15 Llama 3.1 70B saves $0.48 (76%)
Large Project (50K lines) $3.15 $0.75 Llama 3.1 70B saves $2.40 (76%)
Code Review (5K lines) $0.15 $0.04 Llama 3.1 70B saves $0.11 (70%)

Verdict

Llama 3.1 70B wins on both price and performance — $0.200/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models