LLMversus

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

Pricing verified Sep 14, 2026By LLMversusUpdated September 17, 2026View methodology

⚡ Quick Answer

Gemini 2.0 Flash is significantly cheaper at $0.10/$0.40 per million tokens vs $0.20/$0.60. Llama 4 Maverick is stronger for coding with a coding ELO of 1280 vs 1240. Gemini 2.0 Flash is faster at 160 tokens/sec vs 90 tokens/sec. Llama 4 Maverick ranks higher overall with an Arena ELO of 1290 vs 1260.

Updated: September 14, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureGemini 2.0 FlashLlama 4 Maverick
ProviderGoogleMeta
Input Price / 1M tokens$0.100$0.200
Output Price / 1M tokens$0.400$0.696
Context Window
1.048576M
1.048576M
Max Output Tokens
8,192
32,768
Arena ELO
1,360
1,290
Coding ELO
1,360
1,280
TTFT (ms)
120
250
Tokens/sec
160
90
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. It is also the more cost-effective option between the two.

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 Maverick

Choose Llama 4 Maverick when you need: open-source model with strong performance, very affordable via hosted providers, 1m context window, mixture-of-experts architecture. It excels at chatbots, coding, general-purpose, open-source tasks.

Strengths:

  • Open-source model with strong performance
  • Very affordable via hosted providers
  • 1M context window
  • Mixture-of-experts architecture

Best for:

chatbotscodinggeneral-purposeopen-source

Frequently Asked Questions

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