Which model is better: DeepSeek V4 Pro or Gemini 3.1 Pro?
Gemini 3.1 Pro is 5.3% cheaper for input tokens ($1.25 vs. $1.32 per 1M tokens) and $10.00 vs. $3.96 for output tokens (1.1x cost advantage). In terms of operational performance, Gemini 3.1 Pro delivers lower response latency at 420ms TTFT (100ms faster than DeepSeek V4 Pro) with 98 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 71.8% for Gemini 3.1 Pro and 90.1% vs. 82.4% 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 3.1 Pro
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$1.25
Gemini 3.1 Pro is 1.1x cheaper
Output Cost / 1M Tokens
$3.96
$10.00
DeepSeek V4 Pro (60.4% lower)
Prompt Cache Read / 1M
$0.145
$0.310
DeepSeek V4 Pro is 2.1x cheaper
Prompt Cache Write / 1M
$1.32
$1.25
Gemini 3.1 Pro is 1.1x cheaper
Context Window (Max Output)
1,024k (128k out)
1,049k (66k out)
Gemini 3.1 Pro (1.0x larger context)
Avg TTFT Response Latency
520ms
420ms
Gemini 3.1 Pro (100ms faster)
Generation Speed (Throughput)
78 tok/s
98 tok/s
Gemini 3.1 Pro (+20 tok/s faster)
SWE-bench Verified (Coding)
80.6%
71.8%
DeepSeek V4 Pro (+8.8% lead)
GPQA Diamond (PhD STEM)
90.1%
82.4%
DeepSeek V4 Pro (+7.7% lead)
MMLU-Pro (Multi-Discipline)
88.4%
89.5%
Gemini 3.1 Pro (+1.1% lead)
MATH-500 (Quantitative Logic)
97.3%
96.8%
DeepSeek V4 Pro (+0.5% lead)
Inference Value Score (IVR)
67 / 100
60 / 100
DeepSeek V4 Pro (+7 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
Which is cheaper: DeepSeek V4 Pro or Gemini 3.1 Pro?
Gemini 3.1 Pro is cheaper at $1.25/1M input tokens ($10.00/1M 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 3.1 Pro?
Gemini 3.1 Pro delivers faster first-token latency at 420ms TTFT (98 tok/s throughput) compared to 520ms TTFT (78 tok/s) for DeepSeek V4 Pro.
How do DeepSeek V4 Pro and Gemini 3.1 Pro compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 71.8% for Gemini 3.1 Pro. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 82.4% for Gemini 3.1 Pro (and 97.3% vs 96.8% 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 3.1 Pro?
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
