LLMversus

Gemini 2.0 Flash vs Phi-3.5 Mini: Pricing, Benchmarks & Verdict (2026)

Pricing verified Aug 3, 2026By LLMversusUpdated August 8, 2026View methodology

⚡ Quick Answer

Compare Gemini 2.0 Flash and Phi-3.5 Mini across pricing, benchmarks, and capabilities.

Updated: August 3, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureGemini 2.0 FlashPhi-3.5 Mini
ProviderGoogleMicrosoft
Input Price / 1M tokens$0.100$0.130
Output Price / 1M tokens$0.400$0.520
Context Window
1.048576M
128K
Max Output Tokens
8,192
4,096
Arena ELO
1,360
1,160
Coding ELO
1,360
1,165
TTFT (ms)
120
150
Tokens/sec
160
100
MultimodalYesNo
JSON ModeYesYes
Function CallingYesYes
VisionYesNo
When to Use Gemini 2.0 Flash

Gemini 2.0 Flash 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 Phi-3.5 Mini

Phi-3.5 Mini excels at cost-effective, fast-inference tasks.

Strengths:

  • Very cheap
  • Fast
  • Large context

Best for:

cost-effectivefast-inference

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