GPT-3.5 Turbo vs DeepSeek Coder V2

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 Coder V2

DeepSeek

DeepSeek's coding-specialized model. Open-source and very affordable.

Input$0.270/M
Output$1.10/M
Context128K tokens
Best ForCode generation, code review, debugging
Benchmark58/100

Benchmark Performance Comparison

Third-party benchmark scores — higher is better. Data sourced from SWE-bench, LiveCodeBench, HumanEval, and BigCodeBench.

BenchmarkGPT-3.5 TurboDeepSeek Coder V2Leader
Overall Score 40 58 DeepSeek Coder V2 leads by 18pts
SWE-bench Verified 32 50 DeepSeek Coder V2 leads by 18pts
LiveCodeBench 42 60 DeepSeek Coder V2 leads by 18pts
HumanEval 62 82 DeepSeek Coder V2 leads by 20pts
BigCodeBench 26 42 DeepSeek Coder V2 leads by 16pts

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 Coder V2Savings
Small Script (1K lines) $0.06 $0.04 DeepSeek Coder V2 saves $0.02 (32%)
Medium Feature (10K lines) $0.48 $0.31 DeepSeek Coder V2 saves $0.16 (34%)
Large Project (50K lines) $2.38 $1.57 DeepSeek Coder V2 saves $0.80 (34%)
Code Review (5K lines) $0.13 $0.07 DeepSeek Coder V2 saves $0.05 (40%)

Value Analysis (Price per Benchmark Score Point)

Lower is better — how much you pay for each point of benchmark performance.

ModelOverall ScorePrice per Score PointVerdict
GPT-3.5 Turbo 40 $0.013/pt Higher cost per point
DeepSeek Coder V2 58 $0.005/pt Better value

DeepSeek Coder V2 delivers the best value at $0.005 per score point.

Strengths & Weaknesses

GPT-3.5 Turbo

  • + Ultra-cheap
  • + Very fast
  • - Basic coding only

DeepSeek Coder V2

  • + Code-specialized
  • + Very cheap
  • - Limited general-purpose

Verdict

DeepSeek Coder V2 wins on both price and performance — $0.270/M input with a benchmark score of 58/100.

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

Compare with Other Models