ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Pro vs GPT-4.1 vs o3

Gemini 2.5 Pro comes out ahead, 63 to 58 and 53 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Google

    Gemini 2.5 Pro

    Released Jun 17, 2025

    63/100
    • ECI145.3
    • Price$1.25 / $10.00
    • Context1.05M
  2. OpenAI

    GPT-4.1

    Released Apr 14, 2025

    53/100
    • ECI136.8
    • Price$2.00 / $8.00
    • Context1.05M
  3. OpenAI

    o3

    Released Apr 16, 2025

    58/100
    • ECI146.9
    • Price$2.00 / $8.00
    • Context200K
01 — Verdict

Gemini 2.5 Pro is our pick

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o3 (58) and GPT-4.1 (53). It leads on inputs & features. o3 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • Capabilityo3Capabilities Index (ECI): o3 146.9 · Gemini 2.5 Pro 145.3 · GPT-4.1 136.8
  • Lowest priceGemini 2.5 ProGemini 2.5 Pro $3.44 · GPT-4.1 $3.50 · o3 $3.50 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Pro and GPT-4.1Gemini 2.5 Pro 1,048,576 · GPT-4.1 1,047,576 · o3 200,000 tokens
  • Widest inputsGemini 2.5 ProGemini 2.5 Pro: Text, Images, PDFs, Audio, Video · GPT-4.1: Text, Images, PDFs · o3: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGemini 2.5 ProGPT-4.1o3
CapabilityCapabilities Index (ECI)50%726174
Price25%242424
Inputs & features15%1007080
Context window10%616132
Overall100%63/10053/10058/100
02 — Side by side

Every spec in one table

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

Gemini 2.5 Pro vs GPT-4.1 vs o3 specifications side by side
SpecificationGemini 2.5 ProGoogleGPT-4.1OpenAIo3OpenAI
Capability
Capabilities Index (ECI)145.3136.8146.9 (best)
ECI rank#78 of 148#111 of 148#63 of 148 (best)
GPQA DiamondGraduate-level science questions85.3% (best)66.9%81.8%
FrontierMath Tiers 1–3Research-level mathematics24.6%6.0%33.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics84.7% (best)38.3%84.4%
SWE-bench VerifiedFixing real GitHub issues57.6%48.5%62.3% (best)
SimpleQA VerifiedShort factual questions—31.1%49.4% (best)
Price per million tokens
Input$1.25 (best)$2.00$2.00
Output$10.00$8.00 (best)$8.00 (best)
Cached input$0.125 (best)$0.50$0.50
Blended (3:1)$3.44 (best)$3.50$3.50
Long-context rateOver 200K: $2.50 / $15.00Same rateSame rate
Price sourceOfficial Google APIOfficial OpenAI APIOfficial OpenAI API
Limits
Context window1,048,576 tokens (best)1,047,576 tokens200,000 tokens
Max output65,536 tokens32,768 tokens100,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioYesNoNo
VideoYesNoNo
ReasoningYesNoYeslow · medium · high
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgemini-2.5-progpt-4.1o3
API providers2225 (best)18
ReleasedJun 17, 2025Apr 14, 2025Apr 16, 2025
Knowledge cutoffJan 2025Apr 2024May 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.

  • Gemini 2.5 Pro$32.50
  • GPT-4.1$36.00
  • o3$36.00
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Pro, GPT-4.1 or o3?

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o3 (58) and GPT-4.1 (53). It leads on inputs & features. o3 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 2.5 Pro, GPT-4.1 or o3?

Gemini 2.5 Pro is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). GPT-4.1 costs $2.00 input / $8.00 output per million tokens (official OpenAI API price); o3 costs $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 $3.44 per million tokens for Gemini 2.5 Pro versus $3.50 for GPT-4.1 (1× as much) and $3.50 for o3 (1× as much).

Which scores higher on benchmarks?

o3 scores higher on the Capabilities Index (ECI): o3 146.9 (#63 of 148), Gemini 2.5 Pro 145.3 (#78 of 148) and GPT-4.1 136.8 (#111 of 148). The confidence ranges of the top two overlap (144.9–148.6 vs 143.6–146.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 2.5 Pro 85.3%, o3 81.8%, GPT-4.1 66.9%; FrontierMath Tiers 1–3 — o3 33.3%, Gemini 2.5 Pro 24.6%, GPT-4.1 6.0%; OTIS Mock AIME 2024–2025 — Gemini 2.5 Pro 84.7%, o3 84.4%, GPT-4.1 38.3%; SWE-bench Verified — o3 62.3%, Gemini 2.5 Pro 57.6%, GPT-4.1 48.5%.

Which is better for coding?

o3 resolves more real GitHub issues on SWE-bench Verified: o3 62.3%, Gemini 2.5 Pro 57.6% and GPT-4.1 48.5%. All three support tool calling for agent workflows.

Which has the bigger context window?

Gemini 2.5 Pro and GPT-4.1 have the largest context windows (1,048,576 and 1,047,576 tokens), against 200,000 for o3. Maximum output per response: Gemini 2.5 Pro up to 65,536, GPT-4.1 up to 32,768, o3 up to 100,000 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Pro accepts text, images, PDFs, audio and video; GPT-4.1 accepts text, images and PDFs; o3 accepts text, images and PDFs. Gemini 2.5 Pro handles the widest range of inputs.

Are any of these open source?

No. Gemini 2.5 Pro, GPT-4.1 and o3 are proprietary and only available through APIs and apps.

Which is newer?

Gemini 2.5 Pro is the newest, released Jun 17, 2025. o3 came out Apr 16, 2025; GPT-4.1 came out Apr 14, 2025. Knowledge cutoff: Gemini 2.5 Pro Jan 2025, GPT-4.1 Apr 2024, o3 May 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.