Which model is better: DeepSeek V4 Pro or OpenAI o3-mini?
OpenAI o3-mini is 16.7% cheaper for input tokens ($1.10 vs. $1.32 per 1M tokens) and $4.40 vs. $3.96 for output tokens (1.2x cost advantage). In terms of operational performance, DeepSeek V4 Pro delivers lower response latency at 520ms TTFT (430ms faster than OpenAI o3-mini) with 78 vs. 98 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 90.1% vs. 79.7% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
DeepSeek V4 Pro
OpenAI o3-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$1.10
OpenAI o3-mini is 1.2x cheaper
Output Cost / 1M Tokens
$3.96
$4.40
DeepSeek V4 Pro (10.0% lower)
Prompt Cache Read / 1M
$0.145
$0.550
DeepSeek V4 Pro is 3.8x cheaper
Prompt Cache Write / 1M
$1.32
$1.10
OpenAI o3-mini is 1.2x cheaper
Context Window (Max Output)
1,024k (128k out)
205k (100k out)
DeepSeek V4 Pro (5.0x larger context)
Avg TTFT Response Latency
520ms
950ms
DeepSeek V4 Pro (430ms faster)
Generation Speed (Throughput)
78 tok/s
98 tok/s
OpenAI o3-mini (+20 tok/s faster)
SWE-bench Verified (Coding)
80.6%
49.3%
DeepSeek V4 Pro (+31.3% lead)
GPQA Diamond (PhD STEM)
90.1%
79.7%
DeepSeek V4 Pro (+10.4% lead)
MMLU-Pro (Multi-Discipline)
88.4%
83.2%
DeepSeek V4 Pro (+5.2% lead)
MATH-500 (Quantitative Logic)
97.3%
97.9%
OpenAI o3-mini (+0.6% lead)
Inference Value Score (IVR)
67 / 100
59.7 / 100
DeepSeek V4 Pro (+7.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
Which is cheaper: DeepSeek V4 Pro or OpenAI o3-mini?
OpenAI o3-mini is cheaper at $1.10/1M input tokens ($4.40/1M output) compared to $1.32/1M input ($3.96/1M output) for DeepSeek V4 Pro.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Pro or OpenAI o3-mini?
DeepSeek V4 Pro delivers faster first-token latency at 520ms TTFT (78 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do DeepSeek V4 Pro and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 79.7% for OpenAI o3-mini (and 97.3% vs 97.9% on MATH-500).
When should you choose DeepSeek V4 Pro?
Choose DeepSeek V4 Pro (DeepSeek) for open-weight 1.6T MoE powerhouse designed for cost-effective full-repository code generation, mathematical reasoning, and persistent chain-of-thought multi-step agent workflows — offering a 1,024k context window, 520ms TTFT, and $1.32/1M input pricing ($0.145/1M cached reads).
When should you choose OpenAI o3-mini?
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
