Which model is better: DeepSeek V4 Pro or Gemini 2.5 Pro?
Gemini 2.5 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, DeepSeek V4 Pro delivers lower response latency at 520ms TTFT (180ms faster than Gemini 2.5 Pro) with 78 vs. 80 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 63.8% for Gemini 2.5 Pro and 90.1% vs. 74.0% 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
Gemini 2.5 Pro
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$1.25
Gemini 2.5 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
$0.313
DeepSeek V4 Pro is 2.2x cheaper
Prompt Cache Write / 1M
$1.32
$1.25
Gemini 2.5 Pro is 1.1x cheaper
Context Window (Max Output)
1,024k (128k out)
1,024k (66k out)
Equal Context Window
Avg TTFT Response Latency
520ms
700ms
DeepSeek V4 Pro (180ms faster)
Generation Speed (Throughput)
78 tok/s
80 tok/s
Gemini 2.5 Pro (+2 tok/s faster)
SWE-bench Verified (Coding)
80.6%
63.8%
DeepSeek V4 Pro (+16.8% lead)
GPQA Diamond (PhD STEM)
90.1%
74%
DeepSeek V4 Pro (+16.1% lead)
MMLU-Pro (Multi-Discipline)
88.4%
85.2%
DeepSeek V4 Pro (+3.2% lead)
MATH-500 (Quantitative Logic)
97.3%
95%
DeepSeek V4 Pro (+2.3% lead)
Inference Value Score (IVR)
67 / 100
56.8 / 100
DeepSeek V4 Pro (+10.2 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 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).
Which is cheaper: DeepSeek V4 Pro or Gemini 2.5 Pro?
Gemini 2.5 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 2.5 Pro?
DeepSeek V4 Pro delivers faster first-token latency at 520ms TTFT (78 tok/s throughput) compared to 700ms TTFT (80 tok/s) for Gemini 2.5 Pro.
How do DeepSeek V4 Pro and Gemini 2.5 Pro compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 63.8% for Gemini 2.5 Pro. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 74% for Gemini 2.5 Pro (and 97.3% vs 95% 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 2.5 Pro?
Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).
