Which model is better: Gemini 3.8 Flash or GPT-4o Mini?
GPT-4o Mini is 40.0% cheaper for input tokens ($0.15 vs. $0.25 per 1M tokens) and $0.60 vs. $1.50 for output tokens (1.7x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (115ms faster than GPT-4o Mini) with 210 vs. 140 tok/s throughput. Gemini 3.8 Flash leads coding evaluations at 68.5% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 79.2% vs. 40.2% 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
Gemini 3.8 Flash
GPT-4o Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.25
$0.15
GPT-4o Mini is 1.7x cheaper
Output Cost / 1M Tokens
$1.50
$0.60
GPT-4o Mini (60.0% lower)
Prompt Cache Read / 1M
$0.025
$0.075
Gemini 3.8 Flash is 3.0x cheaper
Prompt Cache Write / 1M
$0.25
$0.15
GPT-4o Mini is 1.7x cheaper
Context Window (Max Output)
1,049k (66k out)
131k (16k out)
Gemini 3.8 Flash (8.0x larger context)
Avg TTFT Response Latency
105ms
220ms
Gemini 3.8 Flash (115ms faster)
Generation Speed (Throughput)
210 tok/s
140 tok/s
Gemini 3.8 Flash (+70 tok/s faster)
SWE-bench Verified (Coding)
68.5%
41%
Gemini 3.8 Flash (+27.5% lead)
GPQA Diamond (PhD STEM)
79.2%
40.2%
Gemini 3.8 Flash (+39.0% lead)
MMLU-Pro (Multi-Discipline)
87.4%
68%
Gemini 3.8 Flash (+19.4% lead)
MATH-500 (Quantitative Logic)
95.1%
70.2%
Gemini 3.8 Flash (+24.9% lead)
Inference Value Score (IVR)
74 / 100
67.2 / 100
Gemini 3.8 Flash (+6.8 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 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M cached reads).
Which is cheaper: Gemini 3.8 Flash or GPT-4o Mini?
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $0.25/1M input ($1.50/1M output) for Gemini 3.8 Flash.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.8 Flash or GPT-4o Mini?
Gemini 3.8 Flash delivers faster first-token latency at 105ms TTFT (210 tok/s throughput) compared to 220ms TTFT (140 tok/s) for GPT-4o Mini.
How do Gemini 3.8 Flash and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.8 Flash scores 68.5% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.8 Flash scores 79.2% versus 40.2% for GPT-4o Mini (and 95.1% vs 70.2% on MATH-500).
When should you choose Gemini 3.8 Flash?
Choose Gemini 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M cached reads).
When should you choose GPT-4o Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
