Which model is better: DeepSeek V4 Flash Vision (Exp) or Gemini 3.1 Pro?
DeepSeek V4 Flash Vision (Exp) is 82.4% cheaper for input tokens ($0.22 vs. $1.25 per 1M tokens) and $0.65 vs. $10.00 for output tokens (5.7x cost advantage). In terms of operational performance, DeepSeek V4 Flash Vision (Exp) delivers lower response latency at 310ms TTFT (110ms faster than Gemini 3.1 Pro) with 165 vs. 98 tok/s throughput. DeepSeek V4 Flash Vision (Exp) leads coding evaluations at 77.4% SWE-bench Verified vs. 71.8% for Gemini 3.1 Pro and 91.3% vs. 82.4% 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 Flash Vision (Exp)
Gemini 3.1 Pro
Net Delta / Advantage
Input Cost / 1M Tokens
$0.22
$1.25
DeepSeek V4 Flash Vision (Exp) is 5.7x cheaper
Output Cost / 1M Tokens
$0.65
$10.00
DeepSeek V4 Flash Vision (Exp) (93.5% lower)
Prompt Cache Read / 1M
$0.007
$0.310
DeepSeek V4 Flash Vision (Exp) is 44.9x cheaper
Prompt Cache Write / 1M
$0.22
$1.25
DeepSeek V4 Flash Vision (Exp) is 5.7x cheaper
Context Window (Max Output)
1,049k (128k out)
1,049k (66k out)
Equal Context Window
Avg TTFT Response Latency
310ms
420ms
DeepSeek V4 Flash Vision (Exp) (110ms faster)
Generation Speed (Throughput)
165 tok/s
98 tok/s
DeepSeek V4 Flash Vision (Exp) (+67 tok/s faster)
SWE-bench Verified (Coding)
77.4%
71.8%
DeepSeek V4 Flash Vision (Exp) (+5.6% lead)
GPQA Diamond (PhD STEM)
91.3%
82.4%
DeepSeek V4 Flash Vision (Exp) (+8.9% lead)
MMLU-Pro (Multi-Discipline)
87.3%
89.5%
Gemini 3.1 Pro (+2.2% lead)
MATH-500 (Quantitative Logic)
96.4%
96.8%
Gemini 3.1 Pro (+0.4% lead)
Inference Value Score (IVR)
81.6 / 100
60 / 100
DeepSeek V4 Flash Vision (Exp) (+21.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
25.0M Tokens
500K50M250M500M+
5.0M Tokens
100K25M75M150M+
50% Cached
0% (Uncached)25%50% (Typical Agent)95% Max
Estimated Monthly Spend
DeepSeek V4 Flash Vision (Exp)$6.09
$0.22/1M in · $0.65/1M out
Prompt Cache: $0.007/1M read · $0.22/1M write
Gemini 3.1 Pro$69.50
$1.25/1M in · $10.00/1M out
Prompt Cache: $0.310/1M read · $1.25/1M write
Projected Monthly Cost Reduction
$63.41 / mo
(91.2% lower cost with DeepSeek V4 Flash Vision (Exp))
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
Which is cheaper: DeepSeek V4 Flash Vision (Exp) or Gemini 3.1 Pro?
DeepSeek V4 Flash Vision (Exp) is cheaper at $0.22/1M input tokens ($0.65/1M output) compared to $1.25/1M input ($10.00/1M output) for Gemini 3.1 Pro.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Flash Vision (Exp) or Gemini 3.1 Pro?
DeepSeek V4 Flash Vision (Exp) delivers faster first-token latency at 310ms TTFT (165 tok/s throughput) compared to 420ms TTFT (98 tok/s) for Gemini 3.1 Pro.
How do DeepSeek V4 Flash Vision (Exp) and Gemini 3.1 Pro compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Flash Vision (Exp) scores 77.4% versus 71.8% for Gemini 3.1 Pro. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Flash Vision (Exp) scores 91.3% versus 82.4% for Gemini 3.1 Pro (and 96.4% vs 96.8% on MATH-500).
When should you choose DeepSeek V4 Flash Vision (Exp)?
Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).
When should you choose Gemini 3.1 Pro?
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
