GPT-3.5 Turbo vs Llama 3.1 8B

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

Llama 3.1 8B

Meta

Meta's smallest Llama 3.1 model. Open weights, deploy anywhere. Great for self-hosted applications.

Input$0.050/M
Output$0.100/M
Context128K tokens
Best ForSelf-hosted AI, fine-tuning, budget applications

Cost Comparison by Scenario

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

ScenarioGPT-3.5 TurboLlama 3.1 8BSavings
Small Script (1K lines) $0.06 <$0.01 Llama 3.1 8B saves $0.06 (92%)
Medium Feature (10K lines) $0.48 $0.04 Llama 3.1 8B saves $0.44 (92%)
Large Project (50K lines) $2.38 $0.19 Llama 3.1 8B saves $2.19 (92%)
Code Review (5K lines) $0.13 $0.01 Llama 3.1 8B saves $0.11 (91%)

Verdict

Llama 3.1 8B wins on both price and performance — $0.050/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