Which model is better: DeepSeek R1 or DeepSeek V4 Pro?
DeepSeek R1 is 58.3% cheaper for input tokens ($0.55 vs. $1.32 per 1M tokens) and $2.19 vs. $3.96 for output tokens (2.4x cost advantage). In terms of operational performance, DeepSeek V4 Pro delivers lower response latency at 520ms TTFT (930ms faster than DeepSeek R1) with 78 vs. 58 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 49.2% for DeepSeek R1 and 90.1% 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
DeepSeek V4 Pro
Net Delta / Advantage
Input Cost / 1M Tokens
$0.55
$1.32
DeepSeek R1 is 2.4x cheaper
Output Cost / 1M Tokens
$2.19
$3.96
DeepSeek R1 (44.7% lower)
Prompt Cache Read / 1M
$0.140
$0.145
DeepSeek R1 is 1.0x cheaper
Prompt Cache Write / 1M
$0.55
$1.32
DeepSeek R1 is 2.4x cheaper
Context Window (Max Output)
131k (33k out)
1,024k (128k out)
DeepSeek V4 Pro (7.8x larger context)
Avg TTFT Response Latency
1450ms
520ms
DeepSeek V4 Pro (930ms faster)
Generation Speed (Throughput)
58 tok/s
78 tok/s
DeepSeek V4 Pro (+20 tok/s faster)
SWE-bench Verified (Coding)
49.2%
80.6%
DeepSeek V4 Pro (+31.4% lead)
GPQA Diamond (PhD STEM)
71.5%
90.1%
DeepSeek V4 Pro (+18.6% lead)
MMLU-Pro (Multi-Discipline)
84%
88.4%
DeepSeek V4 Pro (+4.4% lead)
MATH-500 (Quantitative Logic)
97.3%
97.3%
Comparable Score
Inference Value Score (IVR)
64.8 / 100
67 / 100
DeepSeek V4 Pro (+2.2 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
DeepSeek R1 is cheaper at $0.55/1M input tokens ($2.19/1M output) compared to $1.32/1M input ($3.96/1M output) for DeepSeek V4 Pro.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek R1 or DeepSeek V4 Pro?
DeepSeek V4 Pro delivers faster first-token latency at 520ms TTFT (78 tok/s throughput) compared to 1450ms TTFT (58 tok/s) for DeepSeek R1.
How do DeepSeek R1 and DeepSeek V4 Pro compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek R1 scores 49.2% versus 80.6% for DeepSeek V4 Pro. On GPQA Diamond graduate-level STEM reasoning, DeepSeek R1 scores 71.5% versus 90.1% for DeepSeek V4 Pro (and 97.3% vs 97.3% 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 DeepSeek V4 Pro?
Choose DeepSeek V4 Pro (DeepSeek) for open-weight 1.6T MoE powerhouse designed for cost-effective full-repository code generation, mathematical reasoning, and persistent chain-of-thought multi-step agent workflows — offering a 1,024k context window, 520ms TTFT, and $1.32/1M input pricing ($0.145/1M cached reads).
