GoogleGemini 3.5 Flash LiteVSMetaLlama-3.1 8B
Our Take
This matchup is a choice between local privacy and cloud scale. Llama-3.1 8B runs entirely on your own hardware for zero API costs and absolute data privacy. However, Gemini 3.5 Flash Lite is served via cloud API, offering superior reasoning accuracy (+53.6% on GPQA Diamond) and a significantly larger context window (1M vs 131k). We recommend Llama-3.1 8B for private, offline workflows, or Gemini 3.5 Flash Lite if you need to process large context sizes or require peak intelligence.
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
54.2%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+53.6%)
84%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$0.85Input: $0.30 | Output: $2.50Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (human-eval)
72.6%good at code completion, standalone functions, and basic algorithms
Reasoning (gpqa-diamond)
30.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
131.07k tokensFrequently Asked Questions about Gemini 3.5 Flash Lite vs Llama-3.1 8B
For coding tasks, Gemini 3.5 Flash Lite scores 54.2% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases), while Llama-3.1 8B scores 72.6% on human-eval (good at code completion, standalone functions, and basic algorithms).
Related Matchups
Explore similar comparisons for Gemini 3.5 Flash Lite and Llama-3.1 8B.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.