GPT-4 Turbo vs QVQ 72B Preview
Performance benchmarks + pricing comparison — updated April 2026
GPT-4 Turbo
OpenAIPrevious generation high-performance model. Good for complex reasoning tasks.
| Input | $10.00/M |
| Output | $30.00/M |
| Context | 128K tokens |
| Best For | Complex reasoning, data extraction, analysis |
| Benchmark | 70/100 |
QVQ 72B Preview
QwenQwen's visual reasoning model. Advanced image + text reasoning capabilities.
| Input | $0.500/M |
| Output | $1.50/M |
| Context | 32K tokens |
| Best For | Image analysis, visual question answering, multimodal reasoning |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | GPT-4 Turbo | QVQ 72B Preview | Savings |
|---|---|---|---|
| Small Script (1K lines) | $1.25 | $0.06 | QVQ 72B Preview saves $1.19 (95%) |
| Medium Feature (10K lines) | $9.50 | $0.48 | QVQ 72B Preview saves $9.03 (95%) |
| Large Project (50K lines) | $47.50 | $2.38 | QVQ 72B Preview saves $45.13 (95%) |
| Code Review (5K lines) | $2.50 | $0.13 | QVQ 72B Preview saves $2.38 (95%) |
Verdict
QVQ 72B Preview 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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