ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Pro vs o3 vs Claude Opus 4.1

Gemini 2.5 Pro comes out ahead, 63 to 58 and 49 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

    o3

    Released Apr 16, 2025

    58/100
    • ECI146.9
    • Price$2.00 / $8.00
    • Context200K
  3. Anthropic

    Claude Opus 4.1

    Released Aug 5, 2025

    49/100
    • ECI144.1
    • Price$15.00 / $75.00
    • 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 Claude Opus 4.1 (49). It leads on inputs & features and context window. 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 · Claude Opus 4.1 144.1
  • Lowest priceGemini 2.5 ProGemini 2.5 Pro $3.44 · o3 $3.50 · Claude Opus 4.1 $30.00 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · o3 200,000 · Claude Opus 4.1 200,000 tokens
  • Widest inputsGemini 2.5 ProGemini 2.5 Pro: Text, Images, PDFs, Audio, Video · o3: Text, Images, PDFs · Claude Opus 4.1: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGemini 2.5 Proo3Claude Opus 4.1
CapabilityCapabilities Index (ECI)50%727471
Price25%24240
Inputs & features15%1008070
Context window10%613232
Overall100%63/10058/10049/100
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 o3 vs Claude Opus 4.1 specifications side by side
SpecificationGemini 2.5 ProGoogleo3OpenAIClaude Opus 4.1Anthropic
Capability
Capabilities Index (ECI)145.3146.9 (best)144.1
ECI rank#78 of 148#63 of 148 (best)#81 of 148
GPQA DiamondGraduate-level science questions85.3% (best)81.8%77.3%
FrontierMath Tiers 1–3Research-level mathematics24.6%33.3% (best)12.6%
OTIS Mock AIME 2024–2025Competition mathematics84.7% (best)84.4%68.9%
SWE-bench VerifiedFixing real GitHub issues57.6%62.3%73.4% (best)
SimpleQA VerifiedShort factual questions—49.4%—
Price per million tokens
Input$1.25 (best)$2.00$15.00
Output$10.00$8.00 (best)$75.00
Cached input$0.125 (best)$0.50—
Blended (3:1)$3.44 (best)$3.50$30.00
Long-context rateOver 200K: $2.50 / $15.00Same rateSame rate
Price sourceOfficial Google APIOfficial OpenAI APIMedian of 14 providers
Limits
Context window1,048,576 tokens (best)200,000 tokens200,000 tokens
Max output65,536 tokens100,000 tokens (best)32,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioYesNoNo
VideoYesNoNo
ReasoningYesYeslow · medium · highYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDgemini-2.5-proo3—
API providers22 (best)1814
ReleasedJun 17, 2025Apr 16, 2025Aug 5, 2025
Knowledge cutoffJan 2025May 2024Mar 31, 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.

  • Gemini 2.5 Pro$32.50
  • o3$36.00
  • Claude Opus 4.1$300.00
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Pro, o3 or Claude Opus 4.1?

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o3 (58) and Claude Opus 4.1 (49). It leads on inputs & features and context window. o3 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 2.5 Pro, o3 or Claude Opus 4.1?

Gemini 2.5 Pro is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). o3 costs $2.00 input / $8.00 output per million tokens (official OpenAI API price); Claude Opus 4.1 costs $15.00 input / $75.00 output per million tokens (median across 14 API providers). 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 o3 (1× as much) and $30.00 for Claude Opus 4.1 (8.7× 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 Claude Opus 4.1 144.1 (#81 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%, Claude Opus 4.1 77.3%; FrontierMath Tiers 1–3 — o3 33.3%, Gemini 2.5 Pro 24.6%, Claude Opus 4.1 12.6%; OTIS Mock AIME 2024–2025 — Gemini 2.5 Pro 84.7%, o3 84.4%, Claude Opus 4.1 68.9%; SWE-bench Verified — Claude Opus 4.1 73.4%, o3 62.3%, Gemini 2.5 Pro 57.6%.

Which is better for coding?

Claude Opus 4.1 resolves more real GitHub issues on SWE-bench Verified: Claude Opus 4.1 73.4%, o3 62.3% and Gemini 2.5 Pro 57.6%. All three 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 o3 and 200,000 for Claude Opus 4.1. Maximum output per response: Gemini 2.5 Pro up to 65,536, o3 up to 100,000, Claude Opus 4.1 up to 32,000 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Pro accepts text, images, PDFs, audio and video; o3 accepts text, images and PDFs; Claude Opus 4.1 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, o3 and Claude Opus 4.1 are proprietary and only available through APIs and apps.

Which is newer?

Claude Opus 4.1 is the newest, released Aug 5, 2025. Gemini 2.5 Pro came out Jun 17, 2025; o3 came out Apr 16, 2025. Knowledge cutoff: Gemini 2.5 Pro Jan 2025, o3 May 2024, Claude Opus 4.1 Mar 31, 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.