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Gemini 2.5 Pro vs OpenAI o1

Which AI model is better in 2026? Compare Gemini 2.5 Pro and OpenAI o1 on benchmarks, pricing, speed, context window, and real-world fit.

Quick summary

Gemini 2.5 Pro is currently the stronger overall pick for reasoning, context, speed, and price. OpenAI o1 wins on coding and math. Gemini 2.5 Pro is also cheaper on blended API price ($2.19 vs $26.25 / 1M).

Overall winner

Gemini 2.5 Pro

View Gemini 2.5 Pro review

Gemini 2.5 Pro wins

  • Reasoning
  • Context
  • Speed
  • Price

OpenAI o1 wins

  • Coding
  • Math

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Google

Gemini 2.5 Pro

ProprietarySep 2025

2M-token context + native multimodality — unbeatable for huge docs.

Open docs
OpenAI

OpenAI o1

ProprietaryDec 2024

Long chain-of-thought reasoning — unbeatable on hard math and code.

Open docs

Gemini 2.5 Pro vs OpenAI o1: overview

Gemini 2.5 Pro (Google) and OpenAI o1 (OpenAI) are frequently compared by teams choosing an AI stack in 2026. Gemini 2.5 Pro: 2M-token context + native multimodality — unbeatable for huge docs. OpenAI o1: Long chain-of-thought reasoning — unbeatable on hard math and code. This Gemini 2.5 Pro vs OpenAI o1 comparison covers benchmarks, pricing, context window, speed, modalities, strengths, weaknesses, and who should pick which model.

Gemini 2.5 Pro is proprietary with a 2M-token context window and a blended API price near $2.19 / 1M tokens (intelligence index 78/100). OpenAI o1 is proprietary with 200k context at about $26.25 blended / 1M (intelligence 76/100). Those gaps drive most “Gemini 2.5 Pro vs OpenAI o1” searches — quality versus cost, closed versus open, cloud versus self-host.

Where they differ most: Gemini 2.5 Pro tends to lead on reasoning, context, speed, and price, while OpenAI o1 leads on coding and math. Choose Gemini 2.5 Pro when you want the stronger overall profile on our scorecard; validate with your own evals before migrating production traffic.

Gemini 2.5 Pro is often shortlisted for whole-codebase analysis, long-doc workflows, and video qa. OpenAI o1 fits research problems, olympiad-level math, and algorithm design. Scroll to pricing, real-world tasks, and the who-should-choose section for decision support.

People search “Gemini 2.5 Pro vs OpenAI o1”, “which is better”, and “Gemini 2.5 Pro vs OpenAI o1 pricing” for the same reason: switching models is expensive if quality drops, and staying put is expensive if you overpay. Use the winner card for a fast answer, the head-to-head table for receipts, and the editorial verdict for a human recommendation. Gemini 2.5 Pro currently ranks among frontier options from Google; OpenAI o1 is a hosted alternative from OpenAI. If API pricing is your main concern, start with the pricing section; for multimodal workloads, check vision/audio rows in technical differences; for agents and long documents, prioritize context and reasoning wins.

Head to head

Spec
Gemini 2.5 Pro
OpenAI o1
Winner
Reason
Intelligence index↑ better
Winner78
76
Gemini 2.5 Pro
Gemini 2.5 Pro leads on the composite intelligence index (78 vs 76).
Speed↑ better
Winner110 tok/s
32 tok/s
Gemini 2.5 Pro
Gemini 2.5 Pro generates tokens faster (110 vs 32 tok/s).
Time to first token↓ better
Winner0.7 s
12 s
Gemini 2.5 Pro
Gemini 2.5 Pro starts streaming sooner (0.7s vs 12s TTFT).
Context window↑ better
Winner2M
200k
Gemini 2.5 Pro
Gemini 2.5 Pro wins with 2M tokens — about 10.0× OpenAI o1.
Max output↑ better
66k
Winner100k
OpenAI o1
OpenAI o1 wins this row (100000 vs 65536).
Input price↓ better
Winner$1.25 / 1M tokens
$15.00 / 1M tokens
Gemini 2.5 Pro
Gemini 2.5 Pro is cheaper (~12.0× lower on this price row).
Output price↓ better
Winner$5.00 / 1M tokens
$60.00 / 1M tokens
Gemini 2.5 Pro
Gemini 2.5 Pro is cheaper (~12.0× lower on this price row).
Blended price↓ better
Winner$2.19 / 1M tokens
$26.25 / 1M tokens
Gemini 2.5 Pro
Gemini 2.5 Pro is cheaper (~12.0× lower on this price row).
License
Proprietary
Proprietary
Qualitative / categorical row
Input modalities
text, image, audio, video
text, image
Qualitative / categorical row
Output modalities
text
text
Qualitative / categorical row

Pricing comparison

API cost is often the deciding factor in Gemini 2.5 Pro vs OpenAI o1 for high-volume apps. Figures below use catalog list prices with a 3:1 input:output blend for monthly estimates. Cached input, batch, and realtime surcharges vary by provider — confirm on official docs.

API costGemini 2.5 ProOpenAI o1
Input / 1M tokens$1.25$15.00
Output / 1M tokens$5.00$60.00
Blended (3:1) / 1M$2.19$26.25
Est. cost @ 1M blended tokens$2.19$26.25
Est. cost @ 10M blended tokens$21.90$262.50
Est. cost @ 100M blended tokens$219.00$2625.00

Cached input, batch API, and realtime surcharges are provider-specific and not always published in our catalog — verify on official pricing pages.

Benchmark showdown

MMLU
Gemini 2.5 Pro
89.5
OpenAI o1
91.8
MMLU Pro
Gemini 2.5 Pro
78.5
OpenAI o1
80.0
GPQA
Gemini 2.5 Pro
66.0
OpenAI o1
78.0
MATH
Gemini 2.5 Pro
91.0
OpenAI o1
94.8
HumanEval
Gemini 2.5 Pro
91.5
OpenAI o1
92.4

OpenAI o1 leads on MMLU, MMLU Pro, GPQA, MATH, and HumanEval. Gemini 2.5 Pro also undercuts on blended API price. Raw benchmarks shortlist models — run task-specific evals before you switch.

Real-world performance

Beyond academic scores, here is how Gemini 2.5 Pro vs OpenAI o1 tends to split common product tasks based on catalog strengths, price, and modalities.

TaskWinner
CodingOpenAI o1
Blog writingGemini 2.5 Pro
ResearchGemini 2.5 Pro
Customer supportGemini 2.5 Pro
Cheap API / high volumeGemini 2.5 Pro
AI agentsGemini 2.5 Pro
SummarizationGemini 2.5 Pro
TranslationGemini 2.5 Pro
Vision / multimodalGemini 2.5 Pro
Self-hosting / open weightsGemini 2.5 Pro

Technical differences

FeatureGemini 2.5 ProOpenAI o1
ProviderGoogleOpenAI
LicenseProprietaryProprietary
Pricing modeltokenstokens
Context window2M tokens200k tokens
Max output66k tokens100k tokens
Vision inputYesYes
Audio inputYesNo
Text outputYesYes
Image outputNoNo
Video outputNoNo
Audio outputNoNo
Self-host friendlyNoNo
DocsAvailableAvailable

Strengths, weaknesses and best-for

Gemini 2.5 Pro
Strengths
  • 2M context
  • Native video understanding
  • Strong on math
Weaknesses
  • Output ceiling lower than competitors
Best for
  • Whole-codebase analysis
  • Long-doc workflows
  • Video QA
OpenAI o1
Strengths
  • Tops MATH and GPQA leaderboards
  • Self-checks its work
Weaknesses
  • Very slow
  • Very expensive
  • Overkill for simple tasks
Best for
  • Research problems
  • Olympiad-level math
  • Algorithm design

Who should choose which

Choose Gemini 2.5 Pro if

  • You need stronger reasoning, coding, or math quality
  • You need a larger context window
  • You care about faster token throughput
  • API budget is the top constraint
  • Whole-codebase analysis

Choose OpenAI o1 if

  • You need stronger reasoning, coding, or math quality
  • Research problems
  • Olympiad-level math

Pros & cons

Gemini 2.5 Pro

Pros

  • 2M context
  • Native video understanding
  • Strong on math

Cons

  • Output ceiling lower than competitors

OpenAI o1

Pros

  • Tops MATH and GPQA leaderboards
  • Self-checks its work

Cons

  • Very slow
  • Very expensive
  • Overkill for simple tasks

Editorial verdict

Gemini 2.5 Pro edges this matchup — with caveats

Gemini 2.5 Pro is the better choice when you prioritize reasoning, context, speed, and price. OpenAI o1 stands out for coding and math, making it a strong option when those dimensions matter more than raw leaderboard rank. If maximum measured performance matters, Gemini 2.5 Pro wins this matchup. If your niche constraints matter more, OpenAI o1 is difficult to beat. Always confirm with a bake-off on your real prompts before cutting over.

Still deciding? Read the full Gemini 2.5 Pro review and OpenAI o1 review, or open the full AI models table.

Gemini 2.5 Pro vs OpenAI o1 — frequently asked questions

On our scorecard, Gemini 2.5 Pro wins overall (leads on Reasoning, Context, Speed, and Price). The “better” model still depends on your workload — validate with your own evals.

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