GPT-3.5 Turbo vs Qwen 2.5 72B
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 |
Qwen 2.5 72B
QwenQwen's open-weight 72B model. Strong Chinese and English performance at competitive pricing.
| Input | $0.400/M |
| Output | $0.800/M |
| Context | 128K tokens |
| Best For | Chinese-English applications, code generation, open-source preference |
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 | Qwen 2.5 72B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.06 | $0.04 | Qwen 2.5 72B saves $0.02 (39%) |
| Medium Feature (10K lines) | $0.48 | $0.30 | Qwen 2.5 72B saves $0.17 (37%) |
| Large Project (50K lines) | $2.38 | $1.50 | Qwen 2.5 72B saves $0.88 (37%) |
| Code Review (5K lines) | $0.13 | $0.09 | Qwen 2.5 72B saves $0.04 (28%) |
Verdict
Qwen 2.5 72B wins on both price and performance — $0.400/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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