GPT-4 Turbo vs Yi-Large
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 |
Yi-Large
01.ai01.ai's flagship model. Strong bilingual capabilities for enterprise applications.
| Input | $2.50/M |
| Output | $10.00/M |
| Context | 32K tokens |
| Best For | Enterprise Chinese-English applications, analysis |
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 | Yi-Large | Savings |
|---|---|---|---|
| Small Script (1K lines) | $1.25 | $0.39 | Yi-Large saves $0.86 (69%) |
| Medium Feature (10K lines) | $9.50 | $2.88 | Yi-Large saves $6.63 (70%) |
| Large Project (50K lines) | $47.50 | $14.38 | Yi-Large saves $33.13 (70%) |
| Code Review (5K lines) | $2.50 | $0.69 | Yi-Large saves $1.81 (73%) |
Verdict
Yi-Large wins on both price and performance — $2.50/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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