Which model is better: DeepSeek V3 or OpenAI o3-mini?
DeepSeek V3 is 87.3% cheaper for input tokens ($0.14 vs. $1.10 per 1M tokens) and $0.28 vs. $4.40 for output tokens (7.9x cost advantage). In terms of operational performance, DeepSeek V3 delivers lower response latency at 410ms TTFT (540ms faster than OpenAI o3-mini) with 78 vs. 98 tok/s throughput. OpenAI o3-mini leads coding evaluations at 49.3% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 79.7% vs. 59.1% 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 V3
OpenAI o3-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$1.10
DeepSeek V3 is 7.9x cheaper
Output Cost / 1M Tokens
$0.28
$4.40
DeepSeek V3 (93.6% lower)
Prompt Cache Read / 1M
$0.014
$0.550
DeepSeek V3 is 39.3x cheaper
Prompt Cache Write / 1M
$0.14
$1.10
DeepSeek V3 is 7.9x cheaper
Context Window (Max Output)
131k (8k out)
205k (100k out)
OpenAI o3-mini (1.6x larger context)
Avg TTFT Response Latency
410ms
950ms
DeepSeek V3 (540ms faster)
Generation Speed (Throughput)
78 tok/s
98 tok/s
OpenAI o3-mini (+20 tok/s faster)
SWE-bench Verified (Coding)
42%
49.3%
OpenAI o3-mini (+7.3% lead)
GPQA Diamond (PhD STEM)
59.1%
79.7%
OpenAI o3-mini (+20.6% lead)
MMLU-Pro (Multi-Discipline)
75.9%
83.2%
OpenAI o3-mini (+7.3% lead)
MATH-500 (Quantitative Logic)
90.2%
97.9%
OpenAI o3-mini (+7.7% lead)
Inference Value Score (IVR)
75 / 100
59.7 / 100
DeepSeek V3 (+15.3 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).
DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M output) compared to $1.10/1M input ($4.40/1M output) for OpenAI o3-mini.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V3 or OpenAI o3-mini?
DeepSeek V3 delivers faster first-token latency at 410ms TTFT (78 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do DeepSeek V3 and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 79.7% for OpenAI o3-mini (and 90.2% vs 97.9% on MATH-500).
When should you choose DeepSeek V3?
Choose DeepSeek V3 (DeepSeek) for cost-sensitive batch text processing, drafting, and open-weight self-hosted inference — offering a 131k context window, 410ms TTFT, and $0.14/1M input pricing ($0.014/1M 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).
