Which model is better: DeepSeek V4 Pro or Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite is 94.3% cheaper for input tokens ($0.07 vs. $1.32 per 1M tokens) and $0.30 vs. $3.96 for output tokens (17.6x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (442ms faster than DeepSeek V4 Pro) with 265 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 90.1% vs. 68.4% 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
Gemini 3.5 Flash-Lite
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$0.07
Gemini 3.5 Flash-Lite is 17.6x cheaper
Output Cost / 1M Tokens
$3.96
$0.30
Gemini 3.5 Flash-Lite (92.4% lower)
Prompt Cache Read / 1M
$0.145
$0.015
Gemini 3.5 Flash-Lite is 9.7x cheaper
Prompt Cache Write / 1M
$1.32
$0.07
Gemini 3.5 Flash-Lite is 17.6x cheaper
Context Window (Max Output)
1,024k (128k out)
1,049k (33k out)
Gemini 3.5 Flash-Lite (1.0x larger context)
Avg TTFT Response Latency
520ms
78ms
Gemini 3.5 Flash-Lite (442ms faster)
Generation Speed (Throughput)
78 tok/s
265 tok/s
Gemini 3.5 Flash-Lite (+187 tok/s faster)
SWE-bench Verified (Coding)
80.6%
55.4%
DeepSeek V4 Pro (+25.2% lead)
GPQA Diamond (PhD STEM)
90.1%
68.4%
DeepSeek V4 Pro (+21.7% lead)
MMLU-Pro (Multi-Discipline)
88.4%
80.1%
DeepSeek V4 Pro (+8.3% lead)
MATH-500 (Quantitative Logic)
97.3%
90.2%
DeepSeek V4 Pro (+7.1% lead)
Inference Value Score (IVR)
67 / 100
81.5 / 100
Gemini 3.5 Flash-Lite (+14.5 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: DeepSeek V4 Pro or Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite is cheaper at $0.075/1M input tokens ($0.30/1M 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 V4 Pro or Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 520ms TTFT (78 tok/s) for DeepSeek V4 Pro.
How do DeepSeek V4 Pro and Gemini 3.5 Flash-Lite compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 55.4% for Gemini 3.5 Flash-Lite. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 68.4% for Gemini 3.5 Flash-Lite (and 97.3% vs 90.2% 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 Gemini 3.5 Flash-Lite?
Choose Gemini 3.5 Flash-Lite (Google) for high-frequency data pipelines, real-time routing, large-scale document tagging, and ultra-low-cost conversational assistants — offering a 1,048k context window, 78ms TTFT, and $0.07/1M input pricing ($0.015/1M cached reads).
