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Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Computer Use Preview vs GPT-5.1 Chat vs o1-pro

GPT-5.1 Chat comes out ahead, 38 to 35 and 27 on our weighted score.

  1. Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    35/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
    Full specs Remove Gemini 2.5 Computer Use Preview
  2. Our pick

    OpenAI

    GPT-5.1 Chat

    Released Nov 13, 2025

    38/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
    Full specs Remove GPT-5.1 Chat

  3. OpenAI

    o1-pro

    Released Mar 19, 2025Deprecated

    27/100
    • ECI—
    • Price$150.00 / $600.00
    • Context200K
    Full specs Remove o1-pro
01 — Verdict

GPT-5.1 Chat is our pick

GPT-5.1 Chat is the better all-round choice, scoring 38/100 against Gemini 2.5 Computer Use Preview (35) and o1-pro (27). o1-pro wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceGemini 2.5 Computer Use Preview and GPT-5.1 ChatGemini 2.5 Computer Use Preview $3.44 · GPT-5.1 Chat $3.44 · o1-pro $262.50 per 1M tokens (3:1 blend)
  • Longest contexto1-proo1-pro 200,000 · Gemini 2.5 Computer Use Preview 128,000 · GPT-5.1 Chat 128,000 tokens
  • Widest inputsSame inputsGemini 2.5 Computer Use Preview: Text, Images · GPT-5.1 Chat: Text, Images · o1-pro: Text, Images
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGemini 2.5 Computer Use PreviewGPT-5.1 Chato1-pro
Price50%24240
Inputs & features30%607070
Context window20%242432
Overall100%35/10038/10027/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Gemini 2.5 Computer Use Preview vs GPT-5.1 Chat vs o1-pro specifications side by side
SpecificationGemini 2.5 Computer Use PreviewGoogleGPT-5.1 ChatOpenAIo1-proOpenAI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.25 (best)$1.25 (best)$150.00
Output$10.00 (best)$10.00 (best)$600.00
Cached input———
Blended (3:1)$3.44 (best)$3.44 (best)$262.50
Long-context rateOver 200K: $2.50 / $15.00Same rateSame rate
Price sourceOfficial Google APIMedian of 2 providersOfficial OpenAI API
Limits
Context window128,000 tokens128,000 tokens200,000 tokens (best)
Max output64,000 tokens16,384 tokens100,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYeslow · medium · high
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgemini-2.5-computer-use-preview-10-2025—o1-pro
API providers225 (best)
ReleasedOct 7, 2025Nov 13, 2025Mar 19, 2025
Knowledge cutoffJan 2025Sep 30, 2024Sep 2023
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.

  • Gemini 2.5 Computer Use Preview$32.50
  • GPT-5.1 Chat$32.50
  • o1-pro$2,700
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Computer Use Preview, GPT-5.1 Chat or o1-pro?

GPT-5.1 Chat is the better all-round choice, scoring 38/100 against Gemini 2.5 Computer Use Preview (35) and o1-pro (27). o1-pro wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Gemini 2.5 Computer Use Preview, GPT-5.1 Chat or o1-pro?

Gemini 2.5 Computer Use Preview is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). GPT-5.1 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 API providers); o1-pro costs $150.00 input / $600.00 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 Computer Use Preview versus $3.44 for GPT-5.1 Chat (1× as much) and $262.50 for o1-pro (76× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Gemini 2.5 Computer Use Preview has not been scored yet, GPT-5.1 Chat has not been scored yet and o1-pro has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.5 Computer Use Preview, GPT-5.1 Chat and o1-pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

o1-pro has the largest context window at 200,000 tokens, against 128,000 for Gemini 2.5 Computer Use Preview and 128,000 for GPT-5.1 Chat. Maximum output per response: Gemini 2.5 Computer Use Preview up to 64,000, GPT-5.1 Chat up to 16,384, o1-pro up to 100,000 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Computer Use Preview accepts text and images; GPT-5.1 Chat accepts text and images; o1-pro accepts text and images. They handle the same number of input types.

Are any of these open source?

No. Gemini 2.5 Computer Use Preview, GPT-5.1 Chat and o1-pro are proprietary and only available through APIs and apps.

Which is newer?

GPT-5.1 Chat is the newest, released Nov 13, 2025. Gemini 2.5 Computer Use Preview came out Oct 7, 2025; o1-pro came out Mar 19, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, GPT-5.1 Chat Sep 30, 2024, o1-pro Sep 2023.

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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