Which model is better: DeepSeek V4 Pro or Gemini 2.5 Flash?
Gemini 2.5 Flash is 77.3% cheaper for input tokens ($0.30 vs. $1.32 per 1M tokens) and $2.50 vs. $3.96 for output tokens (4.4x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (410ms faster than DeepSeek V4 Pro) with 180 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 58.0% for Gemini 2.5 Flash and 90.1% vs. 70.5% 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 V4 Pro
Gemini 2.5 Flash
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$0.30
Gemini 2.5 Flash is 4.4x cheaper
Output Cost / 1M Tokens
$3.96
$2.50
Gemini 2.5 Flash (36.9% lower)
Prompt Cache Read / 1M
$0.145
$0.030
Gemini 2.5 Flash is 4.8x cheaper
Prompt Cache Write / 1M
$1.32
$0.30
Gemini 2.5 Flash is 4.4x cheaper
Context Window (Max Output)
1,024k (128k out)
1,049k (66k out)
Gemini 2.5 Flash (1.0x larger context)
Avg TTFT Response Latency
520ms
110ms
Gemini 2.5 Flash (410ms faster)
Generation Speed (Throughput)
78 tok/s
180 tok/s
Gemini 2.5 Flash (+102 tok/s faster)
SWE-bench Verified (Coding)
80.6%
58%
DeepSeek V4 Pro (+22.6% lead)
GPQA Diamond (PhD STEM)
90.1%
70.5%
DeepSeek V4 Pro (+19.6% lead)
MMLU-Pro (Multi-Discipline)
88.4%
82%
DeepSeek V4 Pro (+6.4% lead)
MATH-500 (Quantitative Logic)
97.3%
89%
DeepSeek V4 Pro (+8.3% lead)
Inference Value Score (IVR)
67 / 100
66.6 / 100
DeepSeek V4 Pro (+0.4 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 2.5 Flash?
Gemini 2.5 Flash is cheaper at $0.30/1M input tokens ($2.50/1M 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 Flash?
Gemini 2.5 Flash delivers faster first-token latency at 110ms TTFT (180 tok/s throughput) compared to 520ms TTFT (78 tok/s) for DeepSeek V4 Pro.
How do DeepSeek V4 Pro and Gemini 2.5 Flash compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 58% for Gemini 2.5 Flash. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 70.5% for Gemini 2.5 Flash (and 97.3% vs 89% 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 Flash?
Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M cached reads).
