Gemini 2.5 Pro vs o3-mini: Detailed Comparison

Choosing between Gemini 2.5 Pro (Google) and o3-mini (OpenAI) comes down to three things: per-token pricing, context window, and which capability matters most for your workload. Gemini 2.5 Pro costs $1.25/M input vs $1.10/M for o3-mini; context windows are 2.0M vs 200K tokens. Detailed breakdown below.

Side-by-side specs

SpecGemini 2.5 Proo3-mini
ProviderGoogleOpenAI
Released2025-03-252025-01-31
Input price $1.25/M $1.10/M
Output price $10.00/M $4.40/M
Cached input $0.3100/M $0.5500/M
Context window 2.0M 200K
Max output 66K 100K
Modalities text image audio video text
Tokenizer gemini o200k_base

Capability matrix

CapabilityGemini 2.5 Proo3-mini
function calling Yes Yes
json mode Yes Yes
vision Yes No
streaming Yes No
audio Yes No
video Yes No
thinking Yes No
reasoning No Yes

Benchmark comparison

Higher is better for all benchmarks shown.

BenchmarkCategoryGemini 2.5 Proo3-miniΔ
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)Gemini 2.5 Proo3-miniCheaper by
Standard chat (1K / 500) $0.006250 $0.003300 o3-mini by $0.002950
RAG (4K / 500) $0.010000 $0.006600 o3-mini by $0.003400
Long doc (20K / 1K) $0.035000 $0.026400 o3-mini by $0.008600
Very long context (100K / 2K) $0.140000 $0.116600 o3-mini by $0.023400

When to choose Gemini 2.5 Pro over o3-mini

  • Larger context window (2.0M vs 200K) — relevant when whole documents or long histories must fit in a single call.
  • 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.

When to choose o3-mini over Gemini 2.5 Pro

  • Per-token input cost is 12% lower than Gemini 2.5 Pro.
  • Supports reasoning — Gemini 2.5 Pro does not.

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