DeepSeek V3 is 95.3% cheaper for input tokens ($0.14 vs. $3.00 per 1M tokens) and $0.28 vs. $15.00 for output tokens (21.4x cost advantage). In terms of operational performance, DeepSeek V3 delivers lower response latency at 410ms TTFT (210ms faster than Grok 3) with 78 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 84.6% 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
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$3.00
DeepSeek V3 is 21.4x cheaper
Output Cost / 1M Tokens
$0.28
$15.00
DeepSeek V3 (98.1% lower)
Prompt Cache Read / 1M
$0.014
$0.750
DeepSeek V3 is 53.6x cheaper
Prompt Cache Write / 1M
$0.14
$3.00
DeepSeek V3 is 21.4x cheaper
Context Window (Max Output)
131k (8k out)
134k (16k out)
Grok 3 (1.0x larger context)
Avg TTFT Response Latency
410ms
620ms
DeepSeek V3 (210ms faster)
Generation Speed (Throughput)
78 tok/s
88 tok/s
Grok 3 (+10 tok/s faster)
SWE-bench Verified (Coding)
42%
65.8%
Grok 3 (+23.8% lead)
GPQA Diamond (PhD STEM)
59.1%
84.6%
Grok 3 (+25.5% lead)
MMLU-Pro (Multi-Discipline)
75.9%
80%
Grok 3 (+4.1% lead)
MATH-500 (Quantitative Logic)
90.2%
89.8%
DeepSeek V3 (+0.4% lead)
Inference Value Score (IVR)
75 / 100
52.7 / 100
DeepSeek V3 (+22.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M output) compared to $3.00/1M input ($15.00/1M output) for Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V3 or Grok 3?
DeepSeek V3 delivers faster first-token latency at 410ms TTFT (78 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do DeepSeek V3 and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 84.6% for Grok 3 (and 90.2% vs 89.8% 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 Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
