Which model is better: DeepSeek V3 or Gemini 2.5 Flash?
DeepSeek V3 is 53.3% cheaper for input tokens ($0.14 vs. $0.30 per 1M tokens) and $0.28 vs. $2.50 for output tokens (2.1x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (300ms faster than DeepSeek V3) with 180 vs. 78 tok/s throughput. Gemini 2.5 Flash leads coding evaluations at 58.0% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 70.5% 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 2.5 Flash
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$0.30
DeepSeek V3 is 2.1x cheaper
Output Cost / 1M Tokens
$0.28
$2.50
DeepSeek V3 (88.8% lower)
Prompt Cache Read / 1M
$0.014
$0.030
DeepSeek V3 is 2.1x cheaper
Prompt Cache Write / 1M
$0.14
$0.30
DeepSeek V3 is 2.1x cheaper
Context Window (Max Output)
131k (8k out)
1,049k (66k out)
Gemini 2.5 Flash (8.0x larger context)
Avg TTFT Response Latency
410ms
110ms
Gemini 2.5 Flash (300ms faster)
Generation Speed (Throughput)
78 tok/s
180 tok/s
Gemini 2.5 Flash (+102 tok/s faster)
SWE-bench Verified (Coding)
42%
58%
Gemini 2.5 Flash (+16.0% lead)
GPQA Diamond (PhD STEM)
59.1%
70.5%
Gemini 2.5 Flash (+11.4% lead)
MMLU-Pro (Multi-Discipline)
75.9%
82%
Gemini 2.5 Flash (+6.1% lead)
MATH-500 (Quantitative Logic)
90.2%
89%
DeepSeek V3 (+1.2% lead)
Inference Value Score (IVR)
75 / 100
66.6 / 100
DeepSeek V3 (+8.4 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 V3 or Gemini 2.5 Flash?
DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M output) compared to $0.30/1M input ($2.50/1M output) for Gemini 2.5 Flash.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V3 or Gemini 2.5 Flash?
Gemini 2.5 Flash delivers faster first-token latency at 110ms TTFT (180 tok/s throughput) compared to 410ms TTFT (78 tok/s) for DeepSeek V3.
How do DeepSeek V3 and Gemini 2.5 Flash compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 58% for Gemini 2.5 Flash. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 70.5% for Gemini 2.5 Flash (and 90.2% vs 89% 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 2.5 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).
