o3-mini vs Gemini 1.5 Pro: Detailed Comparison

Choosing between o3-mini (OpenAI) and Gemini 1.5 Pro (Google) comes down to three things: per-token pricing, context window, and which capability matters most for your workload. o3-mini costs $1.10/M input vs $1.25/M for Gemini 1.5 Pro; context windows are 200K vs 2.0M tokens. Detailed breakdown below.

Side-by-side specs

Speco3-miniGemini 1.5 Pro
ProviderOpenAIGoogle
Released2025-01-312024-02-15
Input price $1.10/M $1.25/M
Output price $4.40/M $5.00/M
Cached input $0.5500/M $0.3100/M
Context window 200K 2.0M
Max output 100K 8K
Modalities text text image audio video
Tokenizer o200k_base gemini

Capability matrix

Capabilityo3-miniGemini 1.5 Pro
function calling Yes Yes
json mode Yes Yes
reasoning Yes No
vision No Yes
streaming No Yes
audio No Yes
video No Yes

Per-call cost on typical workloads

Workload (in/out tokens)o3-miniGemini 1.5 ProCheaper by
Standard chat (1K / 500) $0.003300 $0.003750 o3-mini by $0.000450
RAG (4K / 500) $0.006600 $0.007500 o3-mini by $0.000900
Long doc (20K / 1K) $0.026400 $0.030000 o3-mini by $0.003600
Very long context (100K / 2K) $0.116600 $0.132500 o3-mini by $0.015900

When to choose o3-mini over Gemini 1.5 Pro

  • Per-token input cost is 12% lower — meaningful for high-volume workloads.
  • Supports reasoning — Gemini 1.5 Pro does not.

When to choose Gemini 1.5 Pro over o3-mini

  • Larger context window (2.0M vs 200K).
  • Supports vision — o3-mini does not.
  • Supports streaming — o3-mini does not.
  • Supports audio — o3-mini does not.
  • Supports video — o3-mini does not.

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