💰 Unit Cost Winner Gemini 3.5 Flash-Lite $0.075/1M in · $0.30/1M out
⚡ Latency & Speed Winner Gemini 3.5 Flash-Lite 78ms TTFT · 265 tok/s
💻 Coding (SWE) Winner Grok 3 65.8% SWE-bench · 91.5% HumanEval
🧠 STEM Reasoning Winner Grok 3 84.6% GPQA · 89.8% MATH-500

Which model is better: Gemini 3.5 Flash-Lite or Grok 3?

Gemini 3.5 Flash-Lite is 97.5% cheaper for input tokens ($0.07 vs. $3.00 per 1M tokens) and $0.30 vs. $15.00 for output tokens (40.0x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (542ms faster than Grok 3) with 265 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 84.6% vs. 68.4% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

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 3.5 Flash-Lite Grok 3 Net Delta / Advantage
Input Cost / 1M Tokens $0.07 $3.00 Gemini 3.5 Flash-Lite is 40.0x cheaper
Output Cost / 1M Tokens $0.30 $15.00 Gemini 3.5 Flash-Lite (98.0% lower)
Prompt Cache Read / 1M $0.015 $0.750 Gemini 3.5 Flash-Lite is 50.0x cheaper
Prompt Cache Write / 1M $0.07 $3.00 Gemini 3.5 Flash-Lite is 40.0x cheaper
Context Window (Max Output) 1,049k (33k out) 134k (16k out) Gemini 3.5 Flash-Lite (7.8x larger context)
Avg TTFT Response Latency 78ms 620ms Gemini 3.5 Flash-Lite (542ms faster)
Generation Speed (Throughput) 265 tok/s 88 tok/s Gemini 3.5 Flash-Lite (+177 tok/s faster)
SWE-bench Verified (Coding) 55.4% 65.8% Grok 3 (+10.4% lead)
GPQA Diamond (PhD STEM) 68.4% 84.6% Grok 3 (+16.2% lead)
MMLU-Pro (Multi-Discipline) 80.1% 80% Gemini 3.5 Flash-Lite (+0.1% lead)
MATH-500 (Quantitative Logic) 90.2% 89.8% Gemini 3.5 Flash-Lite (+0.4% lead)
Inference Value Score (IVR) 81.5 / 100 52.7 / 100 Gemini 3.5 Flash-Lite (+28.8 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
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Gemini 3.5 Flash-Lite $2.63

$0.07/1M in · $0.30/1M out

Prompt Cache: $0.015/1M read · $0.07/1M write

Grok 3 $121.88

$3.00/1M in · $15.00/1M out

Prompt Cache: $0.750/1M read · $3.00/1M write

Projected Monthly Cost Reduction
$119.25 / mo
(97.8% lower cost with Gemini 3.5 Flash-Lite)
Open Full Matchup Analysis →
A

When to Choose Gemini 3.5 Flash-Lite

Choose Gemini 3.5 Flash-Lite (Google) for high-frequency data pipelines, real-time routing, large-scale document tagging, and ultra-low-cost conversational assistants — offering a 1,048k context window, 78ms TTFT, and $0.07/1M input pricing ($0.015/1M cached reads).

B

When to 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).

Related Questions & Decision Factors

Which is cheaper: Gemini 3.5 Flash-Lite or Grok 3?

Gemini 3.5 Flash-Lite is cheaper at $0.075/1M input tokens ($0.30/1M 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 3.5 Flash-Lite or Grok 3?

Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.

How do Gemini 3.5 Flash-Lite and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Gemini 3.5 Flash-Lite scores 55.4% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.5 Flash-Lite scores 68.4% versus 84.6% for Grok 3 (and 90.2% vs 89.8% on MATH-500).

When should you choose Gemini 3.5 Flash-Lite?

Choose Gemini 3.5 Flash-Lite (Google) for high-frequency data pipelines, real-time routing, large-scale document tagging, and ultra-low-cost conversational assistants — offering a 1,048k context window, 78ms TTFT, and $0.07/1M input pricing ($0.015/1M 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).

Explore High-Priority Related Model Matchups