Head-to-head · Sources current through July 14, 2026

Gemini 3.1 Pro vs GPT-5.5

Neither Gemini 3.1 Pro nor GPT-5.5 appears with an exact model match in the LMArena snapshot published July 12, 2026. The two models share no ranking evidence in Model Gauntlet's approved sources, so this page compares documented Epoch AI catalog facts and names no winner.

Side-by-side sourced facts

Both columns quote the same reviewed Epoch AI catalog artifact. The LMArena row quotes the separately pinned snapshot published July 12, 2026 and appears only for an exact source model match. Missing values stay missing.

Source-backed facts for Gemini 3.1 Pro and GPT-5.5
FieldGemini 3.1 ProGPT-5.5
DeveloperGoogleOpenAI
ReleasedFebruary 19, 2026April 23, 2026
DomainsLanguage, VisionMultimodal, Language, Vision
TasksLanguage modeling/generationLanguage modeling/generation, Question answering
AccessAPI accessAPI access
WeightsClosed weightsClosed weights
LMArena ratingNo exact model match in this snapshotNo exact model match in this snapshot
Context windowNot reported by this sourceNot reported by this source
PriceNot reported by this sourceNot reported by this source

Shared evidence in the Epoch records: Language (domain), Vision (domain), Language modeling/generation (task).

Common questions

Is Gemini 3.1 Pro better than GPT-5.5?

No published ranking covers both models in Model Gauntlet's approved sources: the LMArena snapshot published July 12, 2026 has no exact match for either model. The Epoch catalog documents what each model is for; it does not measure which is better.

Which is newer, Gemini 3.1 Pro or GPT-5.5?

According to Epoch AI's model catalog (retrieved July 14, 2026), GPT-5.5 is newer: it was released April 23, 2026, while Gemini 3.1 Pro was released February 19, 2026.

Can you self-host Gemini 3.1 Pro or GPT-5.5?

Neither, according to the Epoch records: both models are closed-weight with API access only, so self-hosting is not supported by this evidence.

Evidence boundary

This page declares no winner beyond what a named source's numbers say. Where the sources do not overlap, the page says so plainly. Task quality, price, context window, latency, and reliability are not reported by these sources, so no claim about them appears here. Both models still require hands-on evaluation on your own workload.