Compare/GPT-4o (Nov '24) vs Gemini 2.5 Pro

GPT-4o (Nov '24)vsGemini 2.5 Pro

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

OpenAI

GPT-4o (Nov '24)

Input
$2.5/M
Output
$10/M
Speed
110 tok/s
TTFT
0.58s
Google

Gemini 2.5 Pro

Input
$1.25/M
Output
$10/M
Speed
117 tok/s
TTFT
21.82s

Winner by Category

Cheaper
Gemini 2.5 Pro
Faster (tok/s)
Gemini 2.5 Pro
Lower Latency
GPT-4o (Nov '24)
Benchmarks (0-12)
Gemini 2.5 Pro

Pricing Comparison

MetricGPT-4o (Nov '24)Gemini 2.5 Pro
Input ($/M tokens)$2.5$1.25
Output ($/M tokens)$10$10
Cost for 1M input + 100K output tokens:
GPT-4o (Nov '24)$3.50
Gemini 2.5 Pro$2.25

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-4o (Nov '24)
110 tok/s
Gemini 2.5 Pro
117 tok/s
Time to First Token (seconds) — lower is better
GPT-4o (Nov '24)
0.58s
Gemini 2.5 Pro
21.82s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
17.334.6
Coding Index
16.731.9
Math Index
6.087.7
GPQA Diamond
54.3%84.4%
MMLU-Pro
74.8%86.2%
LiveCodeBench
30.9%80.1%
AIME 2025
6.0%87.7%
MATH-500
75.9%96.7%
Humanity's Last Exam
3.3%21.1%
SciCode
33.3%42.8%
IFBench
34.3%48.7%
TerminalBench
8.3%26.5%
GPT-4o (Nov '24)0 wins
12 winsGemini 2.5 Pro

Frequently Asked Questions

Which is cheaper, GPT-4o (Nov '24) or Gemini 2.5 Pro?

Gemini 2.5 Pro is cheaper overall. Its blended price (3:1 input/output ratio) is $3.44/M tokens vs $4.38/M for GPT-4o (Nov '24).

Which model performs better on benchmarks?

Gemini 2.5 Pro wins 12 out of 12 benchmarks compared to 0 for GPT-4o (Nov '24). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Gemini 2.5 Pro generates tokens faster at 117 tok/s vs 110 tok/s. GPT-4o (Nov '24) also has lower time-to-first-token (0.58s vs 21.82s).

When should I use GPT-4o (Nov '24) vs Gemini 2.5 Pro?

Choose based on your priorities: Gemini 2.5 Pro for lower cost, Gemini 2.5 Pro for stronger benchmark performance, and Gemini 2.5 Pro for faster generation. For latency-sensitive apps, check the TTFT comparison above.