DeepSeek-R1 vs o3-mini
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: DeepSeek-R1 or o3-mini?
Verified Performance & Unit Economics Delta
Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.
| Metric / Dimension | DeepSeek-R1 | o3-mini | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $0.55 | $1.10 | DeepSeek-R1 is 2.0x cheaper |
| Output Cost / 1M Tokens | $2.19 | $4.40 | DeepSeek-R1 (50.2% lower) |
| Avg TTFT Response Latency | 1800ms | 1200ms | o3-mini (+600ms faster) |
| SWE-bench Verified (Coding) | 49.2% | 49.3% | o3-mini (+0.1% lead) |
| Inference Value Score (IVR) | 99.9 / 100 | 77 / 100 | DeepSeek-R1 (+22.9 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
$1.1/1M in · $4.4/1M 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 o3-mini
Choose o3-mini when you need Cost-efficient STEM reasoning, high-throughput math problem-solving, and structured code synthesis. and prioritize OpenAI ecosystem integration at $1.10/1M tokens.
Related Questions & Decision Factors
Which is cheaper: DeepSeek-R1 or o3-mini?
DeepSeek-R1 is cheaper at $0.55/1M input tokens compared to $1.10/1M for o3-mini.
Which model has lower latency: DeepSeek-R1 or o3-mini?
o3-mini delivers faster response times with an average TTFT of 1200ms 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 o3-mini?
Choose o3-mini when you need Cost-efficient STEM reasoning, high-throughput math problem-solving, and structured code synthesis. and prioritize OpenAI ecosystem integration at $1.10/1M tokens.