GPT-3.5 Turbo vs Groq Llama 3.3 70B
Performance benchmarks + pricing comparison — updated April 2026
GPT-3.5 Turbo
OpenAIBudget model for simple tasks. Being phased out but still widely used.
| Input | $0.500/M |
| Output | $1.50/M |
| Context | 16K tokens |
| Best For | Simple chatbots, basic text generation |
| Benchmark | 40/100 |
Groq Llama 3.3 70B
GroqLlama 3.3 70B running on Groq's ultra-fast LPU inference. Sub-100ms responses for 70B model.
| Input | $0.590/M |
| Output | $0.790/M |
| Context | 128K tokens |
| Best For | Real-time applications, fast chat, low-latency coding |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | GPT-3.5 Turbo | Groq Llama 3.3 70B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.06 | $0.04 | Groq Llama 3.3 70B saves $0.02 (29%) |
| Medium Feature (10K lines) | $0.48 | $0.36 | Groq Llama 3.3 70B saves $0.11 (23%) |
| Large Project (50K lines) | $2.38 | $1.82 | Groq Llama 3.3 70B saves $0.55 (23%) |
| Code Review (5K lines) | $0.13 | $0.12 | Groq Llama 3.3 70B saves <$0.01 (2%) |
Verdict
GPT-3.5 Turbo wins on both price and performance — $0.500/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
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