Which model is better: Gemini 3.8 Flash or Grok 3?
Gemini 3.8 Flash is 91.7% cheaper for input tokens ($0.25 vs. $3.00 per 1M tokens) and $1.50 vs. $15.00 for output tokens (12.0x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (515ms faster than Grok 3) with 210 vs. 88 tok/s throughput. Gemini 3.8 Flash leads coding evaluations at 68.5% SWE-bench Verified vs. 65.8% for Grok 3 and 79.2% vs. 84.6% 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
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.25
$3.00
Gemini 3.8 Flash is 12.0x cheaper
Output Cost / 1M Tokens
$1.50
$15.00
Gemini 3.8 Flash (90.0% lower)
Prompt Cache Read / 1M
$0.025
$0.750
Gemini 3.8 Flash is 30.0x cheaper
Prompt Cache Write / 1M
$0.25
$3.00
Gemini 3.8 Flash is 12.0x cheaper
Context Window (Max Output)
1,049k (66k out)
134k (16k out)
Gemini 3.8 Flash (7.8x larger context)
Avg TTFT Response Latency
105ms
620ms
Gemini 3.8 Flash (515ms faster)
Generation Speed (Throughput)
210 tok/s
88 tok/s
Gemini 3.8 Flash (+122 tok/s faster)
SWE-bench Verified (Coding)
68.5%
65.8%
Gemini 3.8 Flash (+2.7% lead)
GPQA Diamond (PhD STEM)
79.2%
84.6%
Grok 3 (+5.4% lead)
MMLU-Pro (Multi-Discipline)
87.4%
80%
Gemini 3.8 Flash (+7.4% lead)
MATH-500 (Quantitative Logic)
95.1%
89.8%
Gemini 3.8 Flash (+5.3% lead)
Inference Value Score (IVR)
74 / 100
52.7 / 100
Gemini 3.8 Flash (+21.3 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).
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
Gemini 3.8 Flash is cheaper at $0.25/1M input tokens ($1.50/1M output) compared to $3.00/1M input ($15.00/1M output) for Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.8 Flash or Grok 3?
Gemini 3.8 Flash delivers faster first-token latency at 105ms TTFT (210 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do Gemini 3.8 Flash and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.8 Flash scores 68.5% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.8 Flash scores 79.2% versus 84.6% for Grok 3 (and 95.1% vs 89.8% 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 Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
