DeepSeek V3 is 93.0% cheaper for input tokens ($0.14 vs. $2.00 per 1M tokens) and $0.28 vs. $8.00 for output tokens (14.3x cost advantage). In terms of operational performance, DeepSeek V3 delivers lower response latency at 410ms TTFT (740ms faster than OpenAI o3) with 78 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 87.7% 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
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$2.00
DeepSeek V3 is 14.3x cheaper
Output Cost / 1M Tokens
$0.28
$8.00
DeepSeek V3 (96.5% lower)
Prompt Cache Read / 1M
$0.014
$0.500
DeepSeek V3 is 35.7x cheaper
Prompt Cache Write / 1M
$0.14
$2.00
DeepSeek V3 is 14.3x cheaper
Context Window (Max Output)
131k (8k out)
205k (100k out)
OpenAI o3 (1.6x larger context)
Avg TTFT Response Latency
410ms
1150ms
DeepSeek V3 (740ms faster)
Generation Speed (Throughput)
78 tok/s
82 tok/s
OpenAI o3 (+4 tok/s faster)
SWE-bench Verified (Coding)
42%
71.7%
OpenAI o3 (+29.7% lead)
GPQA Diamond (PhD STEM)
59.1%
87.7%
OpenAI o3 (+28.6% lead)
MMLU-Pro (Multi-Discipline)
75.9%
89.8%
OpenAI o3 (+13.9% lead)
MATH-500 (Quantitative Logic)
90.2%
98.6%
OpenAI o3 (+8.4% lead)
Inference Value Score (IVR)
75 / 100
60.6 / 100
DeepSeek V3 (+14.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M output) compared to $2.00/1M input ($8.00/1M output) for OpenAI o3.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V3 or OpenAI o3?
DeepSeek V3 delivers faster first-token latency at 410ms TTFT (78 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do DeepSeek V3 and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 87.7% for OpenAI o3 (and 90.2% vs 98.6% 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?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
