Name: Gemini vs GPT benchmark (2026)
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Question 1

Which is better overall, Gemini 3.6 Pro or GPT-5.6 Sol?

Accepted Answer

GPT-5.6 Sol has the higher preference Elo in our latest snapshot (1,608). “Better” still depends on coding, price, and latency — see the table.

Question 2

Which is better at coding, Gemini 3.6 Pro or GPT-5.6 Sol?

Accepted Answer

GPT-5.6 Sol leads SWE-bench at 77.6% vs 74.6%. SWE-bench is one harness, not your repo.

Question 3

Which is cheaper to run in production?

Accepted Answer

Gemini 3.6 Pro output tokens are $5/1M versus $30/1M. Input prices and retry rates still move the real bill.

Question 4

Which is faster, Gemini 3.6 Pro or GPT-5.6 Sol?

Accepted Answer

Gemini 3.6 Pro has the lower time-to-first-token (205 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.

Question 5

Which has the larger context window?

Accepted Answer

Gemini 3.6 Pro accepts 2M tokens versus 1.1M.

Question 6

Can I self-host either model?

Accepted Answer

Neither model is marked open-weights here. You are comparing hosted APIs.

Question 7

Are these scores from CompareLLM’s own evals?

Accepted Answer

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

Question 8

What does preference Elo mean on this page?

Accepted Answer

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Gemini 3.6 Pro and GPT-5.6 Sol Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Workload	Pick	Why
Repo / coding agents	GPT-5.6 Sol	Higher SWE-bench (77.6%).
High-volume chat	Gemini 3.6 Pro	Lower output list price ($5/1M).
Voice / low-latency UI	Gemini 3.6 Pro	Lower TTFT (205 ms).
Long-document RAG	Gemini 3.6 Pro	Larger window (2M).
Screenshots / vision	GPT-5.6 Sol	Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).

Workload	Pick	Why
Repo / coding agents	GPT-5.6 Sol	Higher SWE-bench (77.6%).
High-volume chat	Gemini 3.6 Pro	Lower output list price ($5/1M).
Voice / low-latency UI	Gemini 3.6 Pro	Lower TTFT (205 ms).
Long-document RAG	Gemini 3.6 Pro	Larger window (2M).
Screenshots / vision	GPT-5.6 Sol	Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).

Gemini vs GPT benchmark (2026)

Gemini 3.6 Pro

GPT-5.6 Sol

Which brand for which job

Frequently asked questions

Gemini vs GPT benchmark (2026)

Gemini 3.6 Pro

GPT-5.6 Sol

Which brand for which job

Frequently asked questions