Which model is better: DeepSeek V3 or Gemini 4 Argon?
DeepSeek V3 is 93.0% cheaper for input tokens ($0.14 vs. $2.00 per 1M tokens) and $0.28 vs. $10.00 for output tokens (14.3x cost advantage). In terms of operational performance, DeepSeek V3 delivers lower response latency at 410ms TTFT (440ms 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. 42.0% for DeepSeek V3 and 93.8% vs. 59.1% 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 V3
Gemini 4 Argon
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$2.00
DeepSeek V3 is 14.3x cheaper
Output Cost / 1M Tokens
$0.28
$10.00
DeepSeek V3 (97.2% lower)
Prompt Cache Read / 1M
$0.014
$0.100
DeepSeek V3 is 7.1x cheaper
Prompt Cache Write / 1M
$0.14
$0.50
DeepSeek V3 is 3.6x cheaper
Context Window (Max Output)
131k (8k out)
1,024k (1000k out)
Gemini 4 Argon (7.8x larger context)
Avg TTFT Response Latency
410ms
850ms
DeepSeek V3 (440ms faster)
Generation Speed (Throughput)
78 tok/s
115 tok/s
Gemini 4 Argon (+37 tok/s faster)
SWE-bench Verified (Coding)
42%
84.5%
Gemini 4 Argon (+42.5% lead)
GPQA Diamond (PhD STEM)
59.1%
93.8%
Gemini 4 Argon (+34.7% lead)
MMLU-Pro (Multi-Discipline)
75.9%
91.4%
Gemini 4 Argon (+15.5% lead)
MATH-500 (Quantitative Logic)
90.2%
98.2%
Gemini 4 Argon (+8.0% lead)
Inference Value Score (IVR)
75 / 100
62.6 / 100
DeepSeek V3 (+12.4 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).
DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M 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 V3 or Gemini 4 Argon?
DeepSeek V3 delivers faster first-token latency at 410ms TTFT (78 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do DeepSeek V3 and Gemini 4 Argon compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 84.5% for Gemini 4 Argon. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 93.8% for Gemini 4 Argon (and 90.2% vs 98.2% on MATH-500).
When should you choose DeepSeek V3?
Choose DeepSeek V3 (DeepSeek) for cost-sensitive batch text processing, drafting, and open-weight self-hosted inference — offering a 131k context window, 410ms TTFT, and $0.14/1M input pricing ($0.014/1M 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).
