💰 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 Llama 4 Maverick 62.4% SWE-bench · 92.6% HumanEval
🧠 STEM Reasoning Winner Llama 4 Maverick 73.8% GPQA · 91% MATH-500

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

Gemini 3.5 Flash-Lite is 62.5% cheaper for input tokens ($0.07 vs. $0.20 per 1M tokens) and $0.30 vs. $0.60 for output tokens (2.7x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (57ms faster than Llama 4 Maverick) with 265 vs. 175 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 73.8% 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 Llama 4 Maverick Net Delta / Advantage
Input Cost / 1M Tokens $0.07 $0.20 Gemini 3.5 Flash-Lite is 2.7x cheaper
Output Cost / 1M Tokens $0.30 $0.60 Gemini 3.5 Flash-Lite (50.0% lower)
Prompt Cache Read / 1M $0.015 $0.050 Gemini 3.5 Flash-Lite is 3.3x cheaper
Prompt Cache Write / 1M $0.07 $0.20 Gemini 3.5 Flash-Lite is 2.7x cheaper
Context Window (Max Output) 1,049k (33k out) 1,049k (33k out) Equal Context Window
Avg TTFT Response Latency 78ms 135ms Gemini 3.5 Flash-Lite (57ms faster)
Generation Speed (Throughput) 265 tok/s 175 tok/s Gemini 3.5 Flash-Lite (+90 tok/s faster)
SWE-bench Verified (Coding) 55.4% 62.4% Llama 4 Maverick (+7.0% lead)
GPQA Diamond (PhD STEM) 68.4% 73.8% Llama 4 Maverick (+5.4% lead)
MMLU-Pro (Multi-Discipline) 80.1% 84.5% Llama 4 Maverick (+4.4% lead)
MATH-500 (Quantitative Logic) 90.2% 91% Llama 4 Maverick (+0.8% lead)
Inference Value Score (IVR) 81.5 / 100 77 / 100 Gemini 3.5 Flash-Lite (+4.5 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

Llama 4 Maverick $6.13

$0.20/1M in · $0.60/1M out

Prompt Cache: $0.050/1M read · $0.20/1M write

Projected Monthly Cost Reduction
$3.50 / mo
(57.1% 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 Llama 4 Maverick

Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).

Related Questions & Decision Factors

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

Gemini 3.5 Flash-Lite is cheaper at $0.075/1M input tokens ($0.30/1M output) compared to $0.20/1M input ($0.60/1M output) for Llama 4 Maverick.

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

Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 135ms TTFT (175 tok/s) for Llama 4 Maverick.

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

On SWE-bench Verified software engineering, Gemini 3.5 Flash-Lite scores 55.4% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.5 Flash-Lite scores 68.4% versus 73.8% for Llama 4 Maverick (and 90.2% vs 91% 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 Llama 4 Maverick?

Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).

Explore High-Priority Related Model Matchups