Gemini 3 Pro vs GPT-5

Benchmark, pricing and capability comparison of Gemini 3 Pro and GPT-5.

Arena Elo
1455
Context
1,000K
GPQA
86%
SWE-Bench
76%
Input $/1M
$2
Output $/1M
$12
Full details
OpenAI
GPT-5

OpenAI

Arena Elo
1450
Context
400K
GPQA
85%
SWE-Bench
75%
Input $/1M
$1.25
Output $/1M
$10
Full details

Verdict

Gemini 3 Pro and GPT-5 are closely matched in overall performance, with Gemini 3 Pro holding a slight edge in Arena Elo ratings (1455 vs 1450). The primary difference lies in context window and pricing: Gemini 3 Pro offers a substantially larger 1,000,000-token context compared to GPT-5's 400,000 tokens, making it better suited for processing extremely long documents or maintaining coherence across extensive conversations. However, GPT-5 is more cost-effective at $1.25 input/$10 output per million tokens versus Gemini 3 Pro's $2/$12 pricing. Both models excel at reasoning, coding, and natural language tasks, though Gemini 3 Pro's larger context may provide an advantage in applications requiring analysis of lengthy materials. Choose Gemini 3 Pro if you need the largest possible context window and are willing to pay a premium for that capability. Choose GPT-5 if cost efficiency is a priority and your use cases fit within the 400,000-token context limit.

Gemini 3 Pro vs GPT-5 — FAQ

They are nearly equivalent in overall performance, with Gemini 3 Pro having a slight Arena Elo advantage (1455 vs 1450). Gemini 3 Pro wins on context size, while GPT-5 wins on pricing. The 'better' choice depends on your specific needs.