DeepSeek V4 Pro is 91.2% cheaper for input tokens ($1.32 vs. $15.00 per 1M tokens) and $3.96 vs. $60.00 for output tokens (11.4x cost advantage). In terms of operational performance, DeepSeek V4 Pro delivers lower response latency at 520ms TTFT (2080ms faster than o1) with 78 vs. 48 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 48.9% for o1 and 90.1% vs. 78.0% 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 V4 Pro
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$15.00
DeepSeek V4 Pro is 11.4x cheaper
Output Cost / 1M Tokens
$3.96
$60.00
DeepSeek V4 Pro (93.4% lower)
Prompt Cache Read / 1M
$0.145
$7.500
DeepSeek V4 Pro is 51.7x cheaper
Prompt Cache Write / 1M
$1.32
$15.00
DeepSeek V4 Pro is 11.4x cheaper
Context Window (Max Output)
1,024k (128k out)
205k (100k out)
DeepSeek V4 Pro (5.0x larger context)
Avg TTFT Response Latency
520ms
2600ms
DeepSeek V4 Pro (2080ms faster)
Generation Speed (Throughput)
78 tok/s
48 tok/s
DeepSeek V4 Pro (+30 tok/s faster)
SWE-bench Verified (Coding)
80.6%
48.9%
DeepSeek V4 Pro (+31.7% lead)
GPQA Diamond (PhD STEM)
90.1%
78%
DeepSeek V4 Pro (+12.1% lead)
MMLU-Pro (Multi-Discipline)
88.4%
83.3%
DeepSeek V4 Pro (+5.1% lead)
MATH-500 (Quantitative Logic)
97.3%
96.4%
DeepSeek V4 Pro (+0.9% lead)
Inference Value Score (IVR)
67 / 100
37.2 / 100
DeepSeek V4 Pro (+29.8 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
DeepSeek V4 Pro is cheaper at $1.32/1M input tokens ($3.96/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Pro or o1?
DeepSeek V4 Pro delivers faster first-token latency at 520ms TTFT (78 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do DeepSeek V4 Pro and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 78% for o1 (and 97.3% vs 96.4% on MATH-500).
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).
When should you choose o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
