DeepSeek-R1 vs Microsoft Phi-4 (14B)
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: DeepSeek-R1 or Microsoft Phi-4 (14B)?
Verified Performance & Unit Economics Delta
Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.
| Metric / Dimension | DeepSeek-R1 | Microsoft Phi-4 (14B) | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $0.55 | $0.12 | Microsoft Phi-4 (14B) is 4.6x cheaper |
| Output Cost / 1M Tokens | $2.19 | $0.36 | Microsoft Phi-4 (14B) (508.3% lower) |
| Avg TTFT Response Latency | 1800ms | 110ms | Microsoft Phi-4 (14B) (+1690ms faster) |
| SWE-bench Verified (Coding) | 49.2% | 42.1% | DeepSeek-R1 (+7.1% lead) |
| Inference Value Score (IVR) | 99.9 / 100 | 99.9 / 100 | Microsoft Phi-4 (14B) (+0 pts) |
Interactive Monthly Token Economics & ROI Forecaster
Model your expected production workload across prompt (input) and completion (output) tokens.
Estimated Monthly Spend
$0.55/1M in · $2.19/1M out
$0.12/1M in · $0.36/1M out
When to Choose DeepSeek-R1
Choose DeepSeek-R1 when you need Open-weights chain-of-thought reasoning for complex mathematics, algorithmic programming, and scientific research. and have an infrastructure budget aligned with $0.55/1M tokens.
When to Choose Microsoft Phi-4 (14B)
Choose Microsoft Phi-4 (14B) when you need High-efficiency local math reasoning, embedded device processing, on-device SLM logic, and low-latency classification. and prioritize Microsoft ecosystem integration at $0.12/1M tokens.
Related Questions & Decision Factors
Which is cheaper: DeepSeek-R1 or Microsoft Phi-4 (14B)?
Microsoft Phi-4 (14B) is cheaper at $0.12/1M input tokens compared to $0.55/1M for DeepSeek-R1.
Which model has lower latency: DeepSeek-R1 or Microsoft Phi-4 (14B)?
Microsoft Phi-4 (14B) delivers faster response times with an average TTFT of 110ms vs 1800ms for DeepSeek-R1.
When should you choose DeepSeek-R1?
Choose DeepSeek-R1 when you need Open-weights chain-of-thought reasoning for complex mathematics, algorithmic programming, and scientific research. and have an infrastructure budget aligned with $0.55/1M tokens.
When should you choose Microsoft Phi-4 (14B)?
Choose Microsoft Phi-4 (14B) when you need High-efficiency local math reasoning, embedded device processing, on-device SLM logic, and low-latency classification. and prioritize Microsoft ecosystem integration at $0.12/1M tokens.