LLMversus

Gemini 2.0 Flash vs Phi-4: Pricing, Benchmarks & Verdict (2026)

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

⚡ Quick Answer

Phi-4 is significantly cheaper at $0.07/$0.14 per million tokens vs $0.10/$0.40. Gemini 2.0 Flash is stronger for coding with a coding ELO of 1240 vs 1130. Gemini 2.0 Flash ranks higher overall with an Arena ELO of 1260 vs 1150. Gemini 2.0 Flash offers a larger 1049K context window vs 16K.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureGemini 2.0 FlashPhi-4
ProviderGoogleMicrosoft
Input Price / 1M tokens$0.100$0.065
Output Price / 1M tokens$0.400$0.140
Context Window
1.048576M
16.384K
Max Output Tokens
8,192
4,096
Arena ELO
1,260
1,150
Coding ELO
1,240
1,130
TTFT (ms)
120
100
Tokens/sec
160
160
MultimodalYesNo
JSON ModeYesYes
Function CallingYesNo
VisionYesNo
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. Its 1049K context window is larger, making it better for long-document processing.

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-4

Choose Phi-4 when you need: ultra-low cost for a capable model, strong math for its size (14b params), very fast inference, can run on consumer hardware. It excels at cost-sensitive, edge-deployment, math, lightweight-tasks tasks. It is also the more cost-effective option between the two.

Strengths:

  • Ultra-low cost for a capable model
  • Strong math for its size (14B params)
  • Very fast inference
  • Can run on consumer hardware

Best for:

cost-sensitiveedge-deploymentmathlightweight-tasks

Frequently Asked Questions

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