LLMversus

o1-mini vs Phi-3.5 MoE: Pricing, Benchmarks & Verdict (2026)

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

⚡ Quick Answer

Compare o1-mini and Phi-3.5 MoE across pricing, benchmarks, and capabilities.

Updated: September 14, 2026 · ✓ Pricing verified

Side-by-Side Comparison

Featureo1-miniPhi-3.5 MoE
ProviderOpenAIMicrosoft
Input Price / 1M tokens$1.10$0.170
Output Price / 1M tokens$4.40$0.680
Context Window
128K
128K
Max Output Tokens
65,536
4,096
Arena ELO
1,270
1,195
Coding ELO
1,280
1,190
TTFT (ms)
150
150
Tokens/sec
100
100
MultimodalNoNo
JSON ModeYesYes
Function CallingYesYes
VisionNoNo
When to Use o1-mini

o1-mini excels at reasoning, general-purpose tasks.

Strengths:

  • Good reasoning at lower cost
  • Extended thinking
  • Fast for reasoning model

Best for:

reasoninggeneral-purpose
When to Use Phi-3.5 MoE

Phi-3.5 MoE excels at general-purpose, cost-effective tasks.

Strengths:

  • Mixture of experts
  • Efficient
  • Balanced performance

Best for:

general-purposecost-effective

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