Gemini 1.5 Pro vs GPT-4o

Gemini 1.5 Pro vs GPT-4o: Gemini 1.5 Pro is cheaper by 50%. Gemini 1.5 Pro from Google Vertex AI (2,097,152-token context) vs. GPT-4o from OpenAI (128,000-token context). Use Agent Command Center to A/B both in shadow mode and pick the winner per workload.

Side-by-side cost

Live workload comparison

Same workload run through both models. The cheaper one is highlighted.

3,000
02,000,000
400
016,384
5,000
01,000,000
Google Vertex AI
$875/mo
Input $1.25/M · Output $5.00/M
OpenAI
$1,750/mo
Input $2.50/M · Output $10.00/M
At this workload, Gemini 1.5 Pro is 50% cheaper than GPT-4o — a savings of $875/month ($10,501/year).
Production recipe — Agent Command Center
strategy: cost-optimized
primary:
  model: gemini-1-5-pro
  provider: vertex-ai
fallback:
  model: gpt-4o
  provider: openai
shadow: { sample_rate: 0.05 }   # mirror 5% of traffic to compare quality live
Gemini 1.5 Pro GPT-4o
Input price $1.25/M $2.50/M
Output price $5.00/M $10.00/M
Context window 2,097,152 128,000
Max output 8,192 16,384
Function calling
Vision
Audio input
Reasoning
Prompt caching
Structured output
Pricing verified May 7, 2026 May 16, 2026
Cheaper option
~50% cheaper than the priciest in this pair
Larger context
2,097,152 tokens
More capabilities
4 of 6 capability flags advertised

Benchmark comparison

Side-by-side public benchmark scores. Greener bar = winner.

Chatbot Arena ELOgeneral
Gemini 1.5 Pro
GPT-4o
1,265
HumanEvalcode
Gemini 1.5 Pro
GPT-4o
90.2%
MMLUgeneral
Gemini 1.5 Pro
85.9%
GPT-4o
88.7%
IFEvalgeneral
Gemini 1.5 Pro
GPT-4o
84.0%
MATHmath
Gemini 1.5 Pro
67.7%
GPT-4o
76.6%
MMMUmultimodal
Gemini 1.5 Pro
62.2%
GPT-4o
69.1%
GPQAreasoning
Gemini 1.5 Pro
46.2%
GPT-4o
53.6%