Which model is better: DeepSeek V4 Pro or Gemini 4 Argon?
DeepSeek V4 Pro is 34.0% cheaper for input tokens ($1.32 vs. $2.00 per 1M tokens) and $3.96 vs. $10.00 for output tokens (1.5x cost advantage). In terms of operational performance, DeepSeek V4 Pro delivers lower response latency at 520ms TTFT (330ms faster than Gemini 4 Argon) with 78 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 80.6% for DeepSeek V4 Pro and 93.8% vs. 90.1% 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 4 Argon
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$2.00
DeepSeek V4 Pro is 1.5x cheaper
Output Cost / 1M Tokens
$3.96
$10.00
DeepSeek V4 Pro (60.4% lower)
Prompt Cache Read / 1M
$0.145
$0.100
Gemini 4 Argon is 1.4x cheaper
Prompt Cache Write / 1M
$1.32
$0.50
Gemini 4 Argon is 2.6x cheaper
Context Window (Max Output)
1,024k (128k out)
1,024k (1000k out)
Equal Context Window
Avg TTFT Response Latency
520ms
850ms
DeepSeek V4 Pro (330ms faster)
Generation Speed (Throughput)
78 tok/s
115 tok/s
Gemini 4 Argon (+37 tok/s faster)
SWE-bench Verified (Coding)
80.6%
84.5%
Gemini 4 Argon (+3.9% lead)
GPQA Diamond (PhD STEM)
90.1%
93.8%
Gemini 4 Argon (+3.7% lead)
MMLU-Pro (Multi-Discipline)
88.4%
91.4%
Gemini 4 Argon (+3.0% lead)
MATH-500 (Quantitative Logic)
97.3%
98.2%
Gemini 4 Argon (+0.9% lead)
Inference Value Score (IVR)
67 / 100
62.6 / 100
DeepSeek V4 Pro (+4.4 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 4 Argon (Google) for engineered with a 1M output token limit for long-horizon software engineering, cybersecurity vulnerability remediation, and deep multimodal enterprise work across legal and financial domains — offering a 1,024k context window, 850ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
Which is cheaper: DeepSeek V4 Pro or Gemini 4 Argon?
DeepSeek V4 Pro is cheaper at $1.32/1M input tokens ($3.96/1M output) compared to $2.00/1M input ($10.00/1M output) for Gemini 4 Argon.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Pro or Gemini 4 Argon?
DeepSeek V4 Pro delivers faster first-token latency at 520ms TTFT (78 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do DeepSeek V4 Pro and Gemini 4 Argon compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 84.5% for Gemini 4 Argon. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 93.8% for Gemini 4 Argon (and 97.3% vs 98.2% 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 4 Argon?
Choose Gemini 4 Argon (Google) for engineered with a 1M output token limit for long-horizon software engineering, cybersecurity vulnerability remediation, and deep multimodal enterprise work across legal and financial domains — offering a 1,024k context window, 850ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
