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Llama 4 Scout vs Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 4 Scout and Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image).

Meta

Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

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Google

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...

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Technical Specifications

SpecificationLlama 4 ScoutNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
ProviderMetaGoogle
Context Window10,000,000 tokens65,536 tokens
Agent Suitability82/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelself hostablemanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-04-052026-06-30

API Pricing Comparison

Input Price per Million Tokens

Llama 4 Scout

$0.10

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

$0.25

Output Price per Million Tokens

Llama 4 Scout

$0.30

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

$1.50

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8720.0%vsN/A
Llama 4 Scout
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
HumanEvalPython coding & logic synthesis
8950.0%vsN/A
Llama 4 Scout
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
MATHComplex mathematical problem solving
8100.0%vsN/A
Llama 4 Scout
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
GPQAGraduate-level expert reasoning
6680.0%vsN/A
Llama 4 Scout
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
HellaSwagCommonsense reasoning and inference
9450.0%vsN/A
Llama 4 Scout
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
MT-BenchMulti-turn conversation flow quality
910.0%vsN/A
Llama 4 Scout
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Llama 4 Scout Quirks & Gotchas

  • ▸10M context causes significant VRAM pressure — recommend 4-bit quantization
  • ▸Primarily designed for RAG, not agentic tool calling

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) Quirks & Gotchas

No developer gotchas reported.