Which model is better: Gemini 3.8 Flash or GPT-4o?
Gemini 3.8 Flash is 90.0% cheaper for input tokens ($0.25 vs. $2.50 per 1M tokens) and $1.50 vs. $10.00 for output tokens (10.0x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (175ms faster than GPT-4o) with 210 vs. 100 tok/s throughput. Gemini 3.8 Flash leads coding evaluations at 68.5% SWE-bench Verified vs. 48.0% for GPT-4o and 79.2% vs. 53.6% 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
Net Delta / Advantage
Input Cost / 1M Tokens
$0.25
$2.50
Gemini 3.8 Flash is 10.0x cheaper
Output Cost / 1M Tokens
$1.50
$10.00
Gemini 3.8 Flash (85.0% lower)
Prompt Cache Read / 1M
$0.025
$1.250
Gemini 3.8 Flash is 50.0x cheaper
Prompt Cache Write / 1M
$0.25
$2.50
Gemini 3.8 Flash is 10.0x 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
280ms
Gemini 3.8 Flash (175ms faster)
Generation Speed (Throughput)
210 tok/s
100 tok/s
Gemini 3.8 Flash (+110 tok/s faster)
SWE-bench Verified (Coding)
68.5%
48%
Gemini 3.8 Flash (+20.5% lead)
GPQA Diamond (PhD STEM)
79.2%
53.6%
Gemini 3.8 Flash (+25.6% lead)
MMLU-Pro (Multi-Discipline)
87.4%
75.9%
Gemini 3.8 Flash (+11.5% lead)
MATH-500 (Quantitative Logic)
95.1%
76.6%
Gemini 3.8 Flash (+18.5% lead)
Inference Value Score (IVR)
74 / 100
47.6 / 100
Gemini 3.8 Flash (+26.4 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 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).
Gemini 3.8 Flash is cheaper at $0.25/1M input tokens ($1.50/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-4o.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.8 Flash or GPT-4o?
Gemini 3.8 Flash delivers faster first-token latency at 105ms TTFT (210 tok/s throughput) compared to 280ms TTFT (100 tok/s) for GPT-4o.
How do Gemini 3.8 Flash and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.8 Flash scores 68.5% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.8 Flash scores 79.2% versus 53.6% for GPT-4o (and 95.1% vs 76.6% 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?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).
