Which model is better: DeepSeek V3 or GPT-4o Mini?
DeepSeek V3 is 6.7% cheaper for input tokens ($0.14 vs. $0.15 per 1M tokens) and $0.28 vs. $0.60 for output tokens (1.1x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (190ms faster than DeepSeek V3) with 140 vs. 78 tok/s throughput. DeepSeek V3 leads coding evaluations at 42.0% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 59.1% vs. 40.2% 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
GPT-4o Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$0.15
DeepSeek V3 is 1.1x cheaper
Output Cost / 1M Tokens
$0.28
$0.60
DeepSeek V3 (53.3% lower)
Prompt Cache Read / 1M
$0.014
$0.075
DeepSeek V3 is 5.4x cheaper
Prompt Cache Write / 1M
$0.14
$0.15
DeepSeek V3 is 1.1x cheaper
Context Window (Max Output)
131k (8k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
410ms
220ms
GPT-4o Mini (190ms faster)
Generation Speed (Throughput)
78 tok/s
140 tok/s
GPT-4o Mini (+62 tok/s faster)
SWE-bench Verified (Coding)
42%
41%
DeepSeek V3 (+1.0% lead)
GPQA Diamond (PhD STEM)
59.1%
40.2%
DeepSeek V3 (+18.9% lead)
MMLU-Pro (Multi-Discipline)
75.9%
68%
DeepSeek V3 (+7.9% lead)
MATH-500 (Quantitative Logic)
90.2%
70.2%
DeepSeek V3 (+20.0% lead)
Inference Value Score (IVR)
75 / 100
67.2 / 100
DeepSeek V3 (+7.8 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 $0.15/1M input ($0.60/1M output) for GPT-4o Mini.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V3 or GPT-4o Mini?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 410ms TTFT (78 tok/s) for DeepSeek V3.
How do DeepSeek V3 and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 40.2% for GPT-4o Mini (and 90.2% vs 70.2% 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 GPT-4o Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
