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Comparison · 2 models · Updated Oct 4, 2026

GPT-4.1 vs Gemini 2.0 Flash

Too close to call on our weighted score (Gemini 2.0 Flash 65, GPT-4.1 63). The right pick depends on what you value most.

  1. OpenAI

    GPT-4.1

    Released Apr 14, 2025

    63/100
    • ECI136.8
    • Price$2.00 / $8.00
    • Context1.05M
  2. Google

    Gemini 2.0 Flash

    Released Dec 11, 2024

    65/100
    • ECI134.7
    • Price—
    • Context1.05M
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    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Gemini 2.0 Flash 65/100, GPT-4.1 63/100), so choose by what matters most for your work: GPT-4.1 for raw capability. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityGPT-4.1Capabilities Index (ECI): GPT-4.1 136.8 · Gemini 2.0 Flash 134.7
  • Lowest priceGPT-4.1GPT-4.1 $3.50 per 1M tokens (3:1 blend) · Gemini 2.0 Flash unpriced
  • Longest contextAbout the sameGemini 2.0 Flash 1,048,576 · GPT-4.1 1,047,576 tokens
  • Widest inputsGemini 2.0 FlashGPT-4.1: Text, Images, PDFs · Gemini 2.0 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-4.1Gemini 2.0 Flash
CapabilityCapabilities Index (ECI)67%6159
Inputs & features20%7090
Context window13%6161
Overall100%63/10065/100

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.

GPT-4.1 vs Gemini 2.0 Flash specifications side by side
SpecificationGPT-4.1OpenAIGemini 2.0 FlashGoogle
Capability
Capabilities Index (ECI)136.8 (best)134.7
ECI rank#111 of 148 (best)#116 of 148
GPQA DiamondGraduate-level science questions66.9%—
FrontierMath Tiers 1–3Research-level mathematics6.0%—
OTIS Mock AIME 2024–2025Competition mathematics38.3%—
SWE-bench VerifiedFixing real GitHub issues48.5%—
SimpleQA VerifiedShort factual questions31.1%—
Price per million tokens
Input$2.00—
Output$8.00—
Cached input$0.50—
Blended (3:1)$3.50—
Long-context rateSame rate—
Price sourceOfficial OpenAI API—
Limits
Context window1,047,576 tokens1,048,576 tokens (best)
Max output32,768 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoYes
VideoNoYes
ReasoningNoNo
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgpt-4.1—
API providers25—
ReleasedApr 14, 2025Dec 11, 2024
Knowledge cutoffApr 2024Jun 2024
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.

  • GPT-4.1$36.00
  • Gemini 2.0 Flash—
04 — Questions

Which should you choose?

Which is better: GPT-4.1 or Gemini 2.0 Flash?

It is close. Our weighted score puts them within 2 points (Gemini 2.0 Flash 65/100, GPT-4.1 63/100), so choose by what matters most for your work: GPT-4.1 for raw capability. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, GPT-4.1 or Gemini 2.0 Flash?

GPT-4.1 is cheaper at $2.00 input / $8.00 output per million tokens (official OpenAI API price). . At a typical mix of three input tokens to one output token, that is $3.50 per million tokens for GPT-4.1 versus . Gemini 2.0 Flash has no published per-token price.

Which scores higher on benchmarks?

GPT-4.1 scores higher on the Capabilities Index (ECI): GPT-4.1 136.8 (#111 of 148) and Gemini 2.0 Flash 134.7 (#116 of 148). The confidence ranges of the top two overlap (133.6–138.4 vs 124.3–136.7), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.0 Flash yet, so there is no like-for-like coding score. On overall capability, GPT-4.1 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?

Their context windows are effectively the same size: GPT-4.1 1,047,576 and Gemini 2.0 Flash 1,048,576 tokens. Maximum output per response: GPT-4.1 up to 32,768, Gemini 2.0 Flash up to 8,192 tokens.

Which can read images, PDFs, audio or video?

GPT-4.1 accepts text, images and PDFs; Gemini 2.0 Flash accepts text, images, PDFs, audio and video. Gemini 2.0 Flash handles the widest range of inputs.

Are any of these open source?

No. GPT-4.1 and Gemini 2.0 Flash are proprietary and only available through APIs and apps.

Which is newer?

GPT-4.1 is the newest, released Apr 14, 2025. Gemini 2.0 Flash came out Dec 11, 2024. Knowledge cutoff: GPT-4.1 Apr 2024, Gemini 2.0 Flash Jun 2024.

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.