Which model is better: DeepSeek V3 or Gemini 2.0 Flash?
Gemini 2.0 Flash is 28.6% cheaper for input tokens ($0.10 vs. $0.14 per 1M tokens) and $0.40 vs. $0.28 for output tokens (1.4x cost advantage). In terms of operational performance, Gemini 2.0 Flash delivers lower response latency at 280ms TTFT (130ms faster than DeepSeek V3) with 185 vs. 78 tok/s throughput. Gemini 2.0 Flash leads coding evaluations at 51.8% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 63.6% 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 2.0 Flash
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$0.10
Gemini 2.0 Flash is 1.4x cheaper
Output Cost / 1M Tokens
$0.28
$0.40
DeepSeek V3 (30.0% lower)
Prompt Cache Read / 1M
$0.014
$0.025
DeepSeek V3 is 1.8x cheaper
Prompt Cache Write / 1M
$0.14
$0.10
Gemini 2.0 Flash is 1.4x cheaper
Context Window (Max Output)
131k (8k out)
1,073k (8k out)
Gemini 2.0 Flash (8.2x larger context)
Avg TTFT Response Latency
410ms
280ms
Gemini 2.0 Flash (130ms faster)
Generation Speed (Throughput)
78 tok/s
185 tok/s
Gemini 2.0 Flash (+107 tok/s faster)
SWE-bench Verified (Coding)
42%
51.8%
Gemini 2.0 Flash (+9.8% lead)
GPQA Diamond (PhD STEM)
59.1%
63.6%
Gemini 2.0 Flash (+4.5% lead)
MMLU-Pro (Multi-Discipline)
75.9%
78.2%
Gemini 2.0 Flash (+2.3% lead)
MATH-500 (Quantitative Logic)
90.2%
91.1%
Gemini 2.0 Flash (+0.9% lead)
Inference Value Score (IVR)
75 / 100
77.7 / 100
Gemini 2.0 Flash (+2.7 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 V3 or Gemini 2.0 Flash?
Gemini 2.0 Flash is cheaper at $0.10/1M input tokens ($0.40/1M output) compared to $0.14/1M input ($0.28/1M output) for DeepSeek V3.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V3 or Gemini 2.0 Flash?
Gemini 2.0 Flash delivers faster first-token latency at 280ms TTFT (185 tok/s throughput) compared to 410ms TTFT (78 tok/s) for DeepSeek V3.
How do DeepSeek V3 and Gemini 2.0 Flash compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 51.8% for Gemini 2.0 Flash. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 63.6% for Gemini 2.0 Flash (and 90.2% vs 91.1% 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 2.0 Flash?
Choose Gemini 2.0 Flash (Google DeepMind) for legacy high-throughput multimodal pipelines migrating to Gemini 3.8 Flash — offering a 1,073k context window, 280ms TTFT, and $0.10/1M input pricing ($0.025/1M cached reads).
