o3-mini vs Gemini 2.5 Pro: Detailed Comparison

Choosing between o3-mini (OpenAI) and Gemini 2.5 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 2.5 Pro; context windows are 200K vs 2.0M tokens. Detailed breakdown below.

Side-by-side specs

Speco3-miniGemini 2.5 Pro
ProviderOpenAIGoogle
Released2025-01-312025-03-25
Input price $1.10/M $1.25/M
Output price $4.40/M $10.00/M
Cached input $0.5500/M $0.3100/M
Context window 200K 2.0M
Max output 100K 66K
Modalities text text image audio video
Tokenizer o200k_base gemini

Capability matrix

Capabilityo3-miniGemini 2.5 Pro
function calling Yes Yes
json mode Yes Yes
reasoning Yes No
vision No Yes
streaming No Yes
audio No Yes
video No Yes
thinking No Yes

Benchmark comparison

Higher is better for all benchmarks shown.

BenchmarkCategoryo3-miniGemini 2.5 ProΔ
MMLU-Pro general 86.4
GPQA Diamond reasoning 84.0
SWE-bench Verified coding 63.8
AIME 2025 math 86.7

Per-call cost on typical workloads

Workload (in/out tokens)o3-miniGemini 2.5 ProCheaper by
Standard chat (1K / 500) $0.003300 $0.006250 o3-mini by $0.002950
RAG (4K / 500) $0.006600 $0.010000 o3-mini by $0.003400
Long doc (20K / 1K) $0.026400 $0.035000 o3-mini by $0.008600
Very long context (100K / 2K) $0.116600 $0.140000 o3-mini by $0.023400

When to choose o3-mini over Gemini 2.5 Pro

  • Per-token input cost is 12% lower — meaningful for high-volume workloads.
  • Supports reasoning — Gemini 2.5 Pro does not.

When to choose Gemini 2.5 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.
  • Supports thinking — o3-mini does not.

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