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 (235ms faster than GPT-5) with 210 vs. 105 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 68.5% for Gemini 3.8 Flash and 85.4% vs. 79.2% 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-5
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
$0.625
Gemini 3.8 Flash is 25.0x 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)
410k (128k out)
Gemini 3.8 Flash (2.6x larger context)
Avg TTFT Response Latency
105ms
340ms
Gemini 3.8 Flash (235ms faster)
Generation Speed (Throughput)
210 tok/s
105 tok/s
Gemini 3.8 Flash (+105 tok/s faster)
SWE-bench Verified (Coding)
68.5%
74.9%
GPT-5 (+6.4% lead)
GPQA Diamond (PhD STEM)
79.2%
85.4%
GPT-5 (+6.2% lead)
MMLU-Pro (Multi-Discipline)
87.4%
90.8%
GPT-5 (+3.4% lead)
MATH-500 (Quantitative Logic)
95.1%
98%
GPT-5 (+2.9% lead)
Inference Value Score (IVR)
74 / 100
59.2 / 100
Gemini 3.8 Flash (+14.8 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).
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-5.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.8 Flash or GPT-5?
Gemini 3.8 Flash delivers faster first-token latency at 105ms TTFT (210 tok/s throughput) compared to 340ms TTFT (105 tok/s) for GPT-5.
How do Gemini 3.8 Flash and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.8 Flash scores 68.5% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.8 Flash scores 79.2% versus 85.4% for GPT-5 (and 95.1% vs 98% 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-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M cached reads).
