LLMversus

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

Pricing verified Aug 10, 2026By LLMversusUpdated August 11, 2026View methodology

⚡ Quick Answer

Gemini 2.0 Flash is faster at 160 tokens/sec vs 110 tokens/sec. Llama 4 Scout offers a larger 10486K context window vs 1049K.

Updated: August 10, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureGemini 2.0 FlashLlama 4 Scout
ProviderGoogleMeta
Input Price / 1M tokens$0.100$0.100
Output Price / 1M tokens$0.400$0.300
Context Window
1.048576M
10.48576M
Max Output Tokens
8,192
32,768
Arena ELO
1,361
1,250
Coding ELO
1,361
1,230
TTFT (ms)
120
200
Tokens/sec
160
110
MultimodalYesYes
JSON ModeYesYes
Function CallingYesYes
VisionYesYes
When to Use Gemini 2.0 Flash

Choose Gemini 2.0 Flash when you need: extremely fast inference, 1m context window at very low cost, strong multimodal support, great for real-time applications. It excels at chatbots, high-volume, cost-sensitive, multimodal tasks.

Strengths:

  • Extremely fast inference
  • 1M context window at very low cost
  • Strong multimodal support
  • Great for real-time applications

Best for:

chatbotshigh-volumecost-sensitivemultimodal
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. It is also the more cost-effective option between the two. 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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