Gemini 3.1 Pro vs GPT-5.2

Google · US  |  OpenAI · US · Updated June 2026

Quick verdict

Pick Gemini 3.1 Pro for full multimodal input — text, image, audio and video in one 1m-token window or long video and document analysis. Pick GPT-5.2 for strong all-round reasoning or reliable structured output. On a tight budget at scale, GPT-5.2 is the value pick.

Gemini 3.1 Pro (Google) and GPT-5.2 (OpenAI) are two of the models people most often weigh against each other in 2026. Gemini 3.1 Pro is a 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window. GPT-5.2 is a capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecGemini 3.1 ProGPT-5.2
ProviderGoogle (US) OpenAI (US)
ReleasedFebruary 19, 2026 December 11, 2025
Context window1M (~1,573 pages) 400K (~600 pages)
Price (in/out)$2/$12 per 1M tokens $1.75/$14 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image, audio, video, code text, image, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1M26.3% Not published

Who wins what

Full multimodal input — text, image, audio and video in one 1M-token window

Gemini 3.1 Pro

Its 1M window holds about 2.6× more than GPT-5.2's 400K in a single prompt.

Long video and document analysis

Gemini 3.1 Pro

A 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window — and it carries the larger 1M context.

Agentic reasoning (high ARC-AGI-2)

Gemini 3.1 Pro

A 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window — and it is the newer of the two.

Strong all-round reasoning

GPT-5.2

A capable GPT-5-generation all-rounder, now succeeded by GPT-5.5 — and it runs cheaper at $1.75/$14 per 1M tokens.

Reliable structured output

GPT-5.2

GPT-5.2 lists reliable structured output among its strengths; Gemini 3.1 Pro does not.

Broad ecosystem and tooling

GPT-5.2

GPT-5.2 lists broad ecosystem and tooling among its strengths; Gemini 3.1 Pro does not.

Lowest cost at scale

GPT-5.2

At $1.75/$14 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Largest single-prompt input

Gemini 3.1 Pro

Its 1M window is about 2.6× larger than GPT-5.2's 400K, fitting roughly 1,573 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

→ GPT-5.2

At $1.75/$14 per 1M tokens it undercuts Gemini 3.1 Pro, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

→ Gemini 3.1 Pro

Larger 1M window fits more in one prompt.

Anyone whose priority is full multimodal input — text, image, audio and video in one 1m-token window

→ Gemini 3.1 Pro

It is specifically built for that.

Anyone whose priority is strong all-round reasoning

→ GPT-5.2

That is its strongest area.

Gemini 3.1 Pro: where it fits

A 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window. Released February 19, 2026 by Google, it is built for full multimodal input — text, image, audio and video in one 1M-token window, long video and document analysis, agentic reasoning (high ARC-AGI-2), and broad multimodal understanding across formats.

Its trade-offs are real: long-context recall drops sharply past 256K (26.3% on MRCR v2 at 1M), premium price per token at $2/$12, and superseded within Google's own line by the newer 3.5/3.6 Flash releases for cost-sensitive work. At $2 in / $12 out per million tokens, it sits in the mid price band.

GPT-5.2: where it fits

A capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. Released December 11, 2025 by OpenAI, it is built for strong all-round reasoning, reliable structured output, broad ecosystem and tooling, and professional workflows.

Its trade-offs: superseded by GPT-5.5, and smaller context than flagships. At $1.75 in / $14 out per million tokens, it sits in the mid price band.

The bottom line for this matchup

Gemini 3.1 Pro and GPT-5.2 overlap enough that the right pick depends on your specific job. GPT-5.2 costs less per token; Gemini 3.1 Pro holds the larger context; and each leads in its own area — Gemini 3.1 Pro for full multimodal input — text, image, audio and video in one 1m-token window, GPT-5.2 for strong all-round reasoning. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both Gemini 3.1 Pro and GPT-5.2 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is Gemini 3.1 Pro or GPT-5.2 better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Gemini 3.1 Pro leans toward full multimodal input — text, image, audio and video in one 1m-token window while GPT-5.2 leans toward strong all-round reasoning, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Gemini 3.1 Pro or GPT-5.2?

GPT-5.2 is cheaper — $2/$12 per 1M tokens vs $1.75/$14 per 1M tokens, roughly 1.1× apart on input.

Which has the bigger context window?

Gemini 3.1 Pro — 1M vs 400K, about 2.6× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Gemini 3.1 Pro and GPT-5.2 together?

Yes — a multi-model platform like LumiChats gives you Gemini 3.1 Pro, GPT-5.2 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, Gemini 3.1 Pro or GPT-5.2?

Gemini 3.1 Pro — released February 19, 2026, about 2 months after GPT-5.2.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.