Microsoft Phi-4 vs Yi-Large
Performance benchmarks + pricing comparison — updated April 2026
Microsoft Phi-4
MicrosoftMicrosoft's compact 14B model with strong reasoning and coding capability. Excellent value for small-scale deployments.
| Input | $0.100/M |
| Output | $0.300/M |
| Context | 128K tokens |
| Best For | Edge deployments, local inference, budget coding |
| Benchmark | 45/100 |
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 | Microsoft Phi-4 | Yi-Large | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.01 | $0.39 | Microsoft Phi-4 saves $0.38 (97%) |
| Medium Feature (10K lines) | $0.10 | $2.88 | Microsoft Phi-4 saves $2.78 (97%) |
| Large Project (50K lines) | $0.47 | $14.38 | Microsoft Phi-4 saves $13.90 (97%) |
| Code Review (5K lines) | $0.02 | $0.69 | Microsoft Phi-4 saves $0.66 (96%) |
Verdict
Microsoft Phi-4 wins on both price and performance — $0.100/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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