GPT-3.5 Turbo vs DeepSeek R1

Performance benchmarks + pricing comparison — updated April 2026

GPT-3.5 Turbo

OpenAI

Budget model for simple tasks. Being phased out but still widely used.

Input$0.500/M
Output$1.50/M
Context16K tokens
Best ForSimple chatbots, basic text generation
Benchmark40/100

DeepSeek R1

DeepSeek

DeepSeek's reasoning model. Open-weight model that rivals o1 for complex reasoning tasks.

Input$0.140/M
Output$0.550/M
Context128K tokens
Best ForMath, coding, science reasoning at low cost

Cost Comparison by Scenario

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

ScenarioGPT-3.5 TurboDeepSeek R1Savings
Small Script (1K lines) $0.06 $0.02 DeepSeek R1 saves $0.04 (66%)
Medium Feature (10K lines) $0.48 $0.16 DeepSeek R1 saves $0.32 (67%)
Large Project (50K lines) $2.38 $0.80 DeepSeek R1 saves $1.58 (67%)
Code Review (5K lines) $0.13 $0.04 DeepSeek R1 saves $0.09 (69%)

Verdict

DeepSeek R1 wins on both price and performance — $0.140/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