DeepSeek R1 is 81.7% cheaper for input tokens ($0.55 vs. $3.00 per 1M tokens) and $2.19 vs. $15.00 for output tokens (5.5x cost advantage). In terms of operational performance, Grok 3 delivers lower response latency at 620ms TTFT (830ms faster than DeepSeek R1) with 88 vs. 58 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 49.2% for DeepSeek R1 and 84.6% vs. 71.5% 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 R1
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.55
$3.00
DeepSeek R1 is 5.5x cheaper
Output Cost / 1M Tokens
$2.19
$15.00
DeepSeek R1 (85.4% lower)
Prompt Cache Read / 1M
$0.140
$0.750
DeepSeek R1 is 5.4x cheaper
Prompt Cache Write / 1M
$0.55
$3.00
DeepSeek R1 is 5.5x cheaper
Context Window (Max Output)
131k (33k out)
134k (16k out)
Grok 3 (1.0x larger context)
Avg TTFT Response Latency
1450ms
620ms
Grok 3 (830ms faster)
Generation Speed (Throughput)
58 tok/s
88 tok/s
Grok 3 (+30 tok/s faster)
SWE-bench Verified (Coding)
49.2%
65.8%
Grok 3 (+16.6% lead)
GPQA Diamond (PhD STEM)
71.5%
84.6%
Grok 3 (+13.1% lead)
MMLU-Pro (Multi-Discipline)
84%
80%
DeepSeek R1 (+4.0% lead)
MATH-500 (Quantitative Logic)
97.3%
89.8%
DeepSeek R1 (+7.5% lead)
Inference Value Score (IVR)
64.8 / 100
52.7 / 100
DeepSeek R1 (+12.1 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 R1 is cheaper at $0.55/1M input tokens ($2.19/1M 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 R1 or Grok 3?
Grok 3 delivers faster first-token latency at 620ms TTFT (88 tok/s throughput) compared to 1450ms TTFT (58 tok/s) for DeepSeek R1.
How do DeepSeek R1 and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek R1 scores 49.2% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, DeepSeek R1 scores 71.5% versus 84.6% for Grok 3 (and 97.3% vs 89.8% on MATH-500).
When should you choose DeepSeek R1?
Choose DeepSeek R1 (DeepSeek) for open-weight chain-of-thought reasoning, synthetic data distillation, and complex mathematical verification — offering a 131k context window, 1450ms TTFT, and $0.55/1M input pricing ($0.140/1M 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).
