💰 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 4 73.2% SWE-bench · 95% HumanEval
🧠 STEM Reasoning Winner Grok 4 86.2% GPQA · 97.6% MATH-500

Which model is better: Gemini 3.5 Flash-Lite or Grok 4?

Gemini 3.5 Flash-Lite is 97.0% cheaper for input tokens ($0.07 vs. $2.50 per 1M tokens) and $0.30 vs. $12.50 for output tokens (33.3x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (402ms faster than Grok 4) with 265 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 86.2% 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 4 Net Delta / Advantage
Input Cost / 1M Tokens $0.07 $2.50 Gemini 3.5 Flash-Lite is 33.3x cheaper
Output Cost / 1M Tokens $0.30 $12.50 Gemini 3.5 Flash-Lite (97.6% lower)
Prompt Cache Read / 1M $0.015 $0.500 Gemini 3.5 Flash-Lite is 33.3x cheaper
Prompt Cache Write / 1M $0.07 $2.50 Gemini 3.5 Flash-Lite is 33.3x cheaper
Context Window (Max Output) 1,049k (33k out) 262k (66k out) Gemini 3.5 Flash-Lite (4.0x larger context)
Avg TTFT Response Latency 78ms 480ms Gemini 3.5 Flash-Lite (402ms faster)
Generation Speed (Throughput) 265 tok/s 95 tok/s Gemini 3.5 Flash-Lite (+170 tok/s faster)
SWE-bench Verified (Coding) 55.4% 73.2% Grok 4 (+17.8% lead)
GPQA Diamond (PhD STEM) 68.4% 86.2% Grok 4 (+17.8% lead)
MMLU-Pro (Multi-Discipline) 80.1% 89.9% Grok 4 (+9.8% lead)
MATH-500 (Quantitative Logic) 90.2% 97.6% Grok 4 (+7.4% lead)
Inference Value Score (IVR) 81.5 / 100 57.6 / 100 Gemini 3.5 Flash-Lite (+23.9 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 4 $100.00

$2.50/1M in · $12.50/1M out

Prompt Cache: $0.500/1M read · $2.50/1M write

Projected Monthly Cost Reduction
$97.38 / mo
(97.4% 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 4

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Gemini 3.5 Flash-Lite or Grok 4?

Gemini 3.5 Flash-Lite is cheaper at $0.075/1M input tokens ($0.30/1M output) compared to $2.50/1M input ($12.50/1M output) for Grok 4.

Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.5 Flash-Lite or Grok 4?

Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 480ms TTFT (95 tok/s) for Grok 4.

How do Gemini 3.5 Flash-Lite and Grok 4 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Gemini 3.5 Flash-Lite scores 55.4% versus 73.2% for Grok 4. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.5 Flash-Lite scores 68.4% versus 86.2% for Grok 4 (and 90.2% vs 97.6% 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 4?

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

Explore High-Priority Related Model Matchups