ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Gemini 2.0 Flash vs o1

Too close to call on our weighted score (o1 65, Gemini 2.0 Flash 65). The right pick depends on what you value most.

  1. Google

    Gemini 2.0 Flash

    Released Dec 11, 2024

    65/100
    • ECI134.7
    • Price—
    • Context1.05M
    Full specs Remove Gemini 2.0 Flash

  2. OpenAI

    o1

    Released Dec 5, 2024Deprecated

    65/100
    • ECI141.9
    • Price$15.00 / $60.00
    • Context200K
    Full specs Remove o1

  3. Add a model

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (o1 65/100, Gemini 2.0 Flash 65/100), so choose by what matters most for your work: o1 for raw capability and Gemini 2.0 Flash for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • Capabilityo1Capabilities Index (ECI): o1 141.9 · Gemini 2.0 Flash 134.7
  • Lowest priceo1o1 $26.25 per 1M tokens (3:1 blend) · Gemini 2.0 Flash unpriced
  • Longest contextGemini 2.0 FlashGemini 2.0 Flash 1,048,576 · o1 200,000 tokens
  • Widest inputsGemini 2.0 FlashGemini 2.0 Flash: Text, Images, PDFs, Audio, Video · o1: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGemini 2.0 Flasho1
CapabilityCapabilities Index (ECI)67%5968
Inputs & features20%9080
Context window13%6132
Overall100%65/10065/100

Left out because at least one model lacks the data: price. 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 2.0 Flash vs o1 specifications side by side
SpecificationGemini 2.0 FlashGoogleo1OpenAI
Capability
Capabilities Index (ECI)134.7141.9 (best)
ECI rank#116 of 148#92 of 148 (best)
GPQA DiamondGraduate-level science questions—76.8%
FrontierMath Tiers 1–3Research-level mathematics—14.7%
OTIS Mock AIME 2024–2025Competition mathematics—73.3%
SimpleQA VerifiedShort factual questions—41.1%
Price per million tokens
Input—$15.00
Output—$60.00
Cached input—$7.50
Blended (3:1)—$26.25
Long-context rate—Same rate
Price source—Official OpenAI API
Limits
Context window1,048,576 tokens (best)200,000 tokens
Max output8,192 tokens100,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioYesNo
VideoYesNo
ReasoningNoYeslow · medium · high
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model ID—o1
API providers—9
ReleasedDec 11, 2024Dec 5, 2024
Knowledge cutoffJun 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 2.0 Flash—
  • o1$270.00
04 — Questions

Which should you choose?

Which is better: Gemini 2.0 Flash or o1?

It is close. Our weighted score puts them within a point (o1 65/100, Gemini 2.0 Flash 65/100), so choose by what matters most for your work: o1 for raw capability and Gemini 2.0 Flash for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Gemini 2.0 Flash or o1?

o1 is cheaper at $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 $26.25 per million tokens for o1 versus . Gemini 2.0 Flash has no published per-token price.

Which scores higher on benchmarks?

o1 scores higher on the Capabilities Index (ECI): o1 141.9 (#92 of 148) and Gemini 2.0 Flash 134.7 (#116 of 148). Their confidence ranges do not overlap (139.7–143.1 vs 124.3–136.7), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.0 Flash and o1 yet, so there is no like-for-like coding score. On overall capability, o1 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 2.0 Flash has the largest context window at 1,048,576 tokens, against 200,000 for o1. Maximum output per response: Gemini 2.0 Flash up to 8,192, o1 up to 100,000 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.0 Flash accepts text, images, PDFs, audio and video; o1 accepts text, images and PDFs. Gemini 2.0 Flash handles the widest range of inputs.

Are any of these open source?

No. Gemini 2.0 Flash and o1 are proprietary and only available through APIs and apps.

Which is newer?

Gemini 2.0 Flash is the newest, released Dec 11, 2024. o1 came out Dec 5, 2024. Knowledge cutoff: Gemini 2.0 Flash Jun 2024, o1 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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