LLMversus

Gemini 2.0 Flash Lite vs Llama 4 Scout: Pricing, Benchmarks & Verdict (2026)

Pricing verified Apr 20, 2026By LLMversusUpdated June 14, 2026View methodology

⚡ Quick Answer

Llama 4 Scout is stronger for coding with a coding ELO of 1230 vs 1170. Gemini 2.0 Flash Lite is faster at 180 tokens/sec vs 110 tokens/sec. Llama 4 Scout ranks higher overall with an Arena ELO of 1250 vs 1200. Llama 4 Scout offers a larger 10486K context window vs 1049K.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureGemini 2.0 Flash LiteLlama 4 Scout
ProviderGoogleMeta
Input Price / 1M tokens$0.075$0.080
Output Price / 1M tokens$0.300$0.300
Context Window
1.048576M
10.48576M
Max Output Tokens
8,192
32,768
Arena ELO
1,200
1,250
Coding ELO
1,170
1,230
TTFT (ms)
100
200
Tokens/sec
180
110
MultimodalYesYes
JSON ModeYesYes
Function CallingYesYes
VisionYesYes
When to Use Gemini 2.0 Flash Lite

Choose Gemini 2.0 Flash Lite when you need: cheapest google model available, ultra-fast response times, 1m context window, great for simple tasks at scale. It excels at chatbots, classification, high-volume, cost-sensitive tasks. It is also the more cost-effective option between the two.

Strengths:

  • Cheapest Google model available
  • Ultra-fast response times
  • 1M context window
  • Great for simple tasks at scale

Best for:

chatbotsclassificationhigh-volumecost-sensitive
When to Use Llama 4 Scout

Choose Llama 4 Scout when you need: 10m token context window, very affordable, open-source and self-hostable, good general performance. It excels at long-context, chatbots, cost-sensitive, open-source tasks. Its 10486K context window is larger, making it better for long-document processing.

Strengths:

  • 10M token context window
  • Very affordable
  • Open-source and self-hostable
  • Good general performance

Best for:

long-contextchatbotscost-sensitiveopen-source

Frequently Asked Questions

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