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Comparison · 2 models · Updated Oct 4, 2026

o1 vs Gemini 2.5 Pro

Gemini 2.5 Pro comes out ahead, 63 to 49 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    o1

    Released Dec 5, 2024Deprecated

    49/100
    • ECI141.9
    • Price$15.00 / $60.00
    • Context200K
    Full specs Remove o1
  2. Our pick

    Google

    Gemini 2.5 Pro

    Released Jun 17, 2025

    63/100
    • ECI145.3
    • Price$1.25 / $10.00
    • Context1.05M
    Full specs Remove Gemini 2.5 Pro

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 2.5 Pro is our pick

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o1 (49). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 2.5 ProCapabilities Index (ECI): Gemini 2.5 Pro 145.3 · o1 141.9
  • Lowest priceGemini 2.5 ProGemini 2.5 Pro $3.44 · o1 $26.25 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · o1 200,000 tokens
  • Widest inputsGemini 2.5 Proo1: Text, Images, PDFs · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeighto1Gemini 2.5 Pro
CapabilityCapabilities Index (ECI)50%6872
Price25%024
Inputs & features15%80100
Context window10%3261
Overall100%49/10063/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

o1 vs Gemini 2.5 Pro specifications side by side
Specificationo1OpenAIGemini 2.5 ProGoogle
Capability
Capabilities Index (ECI)141.9145.3 (best)
ECI rank#92 of 148#78 of 148 (best)
GPQA DiamondGraduate-level science questions76.8%85.3% (best)
FrontierMath Tiers 1–3Research-level mathematics14.7%24.6% (best)
OTIS Mock AIME 2024–2025Competition mathematics73.3%84.7% (best)
SWE-bench VerifiedFixing real GitHub issues—57.6%
SimpleQA VerifiedShort factual questions41.1%—
Price per million tokens
Input$15.00$1.25 (best)
Output$60.00$10.00 (best)
Cached input$7.50$0.125 (best)
Blended (3:1)$26.25$3.44 (best)
Long-context rateSame rateOver 200K: $2.50 / $15.00
Price sourceOfficial OpenAI APIOfficial Google API
Limits
Context window200,000 tokens1,048,576 tokens (best)
Max output100,000 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoYes
VideoNoYes
ReasoningYeslow · medium · highYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDo1gemini-2.5-pro
API providers922 (best)
ReleasedDec 5, 2024Jun 17, 2025
Knowledge cutoffSep 2023Jan 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • o1$270.00
  • Gemini 2.5 Pro$32.50
04 — Questions

Which should you choose?

Which is better: o1 or Gemini 2.5 Pro?

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o1 (49). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, o1 or Gemini 2.5 Pro?

Gemini 2.5 Pro is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). o1 costs $15.00 input / $60.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for Gemini 2.5 Pro versus $26.25 for o1 (7.6× as much).

Which scores higher on benchmarks?

Gemini 2.5 Pro scores higher on the Capabilities Index (ECI): Gemini 2.5 Pro 145.3 (#78 of 148) and o1 141.9 (#92 of 148). Their confidence ranges do not overlap (143.6–146.9 vs 139.7–143.1), so the gap is a real one. On individual benchmarks: GPQA Diamond — Gemini 2.5 Pro 85.3%, o1 76.8%; FrontierMath Tiers 1–3 — Gemini 2.5 Pro 24.6%, o1 14.7%; OTIS Mock AIME 2024–2025 — Gemini 2.5 Pro 84.7%, o1 73.3%.

Which is better for coding?

There are no published SWE-bench Verified results for o1 yet, so there is no like-for-like coding score. On overall capability, Gemini 2.5 Pro leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Gemini 2.5 Pro has the largest context window at 1,048,576 tokens, against 200,000 for o1. Maximum output per response: o1 up to 100,000, Gemini 2.5 Pro up to 65,536 tokens.

Which can read images, PDFs, audio or video?

o1 accepts text, images and PDFs; Gemini 2.5 Pro accepts text, images, PDFs, audio and video. Gemini 2.5 Pro handles the widest range of inputs.

Are any of these open source?

No. o1 and Gemini 2.5 Pro are proprietary and only available through APIs and apps.

Which is newer?

Gemini 2.5 Pro is the newest, released Jun 17, 2025. o1 came out Dec 5, 2024. Knowledge cutoff: o1 Sep 2023, Gemini 2.5 Pro Jan 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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