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Comparison · 2 models · Updated Oct 4, 2026

GPT-6.1 Sol vs Gemini 3 Pro Preview

Too close to call on our weighted score (GPT-6.1 Sol 72, Gemini 3 Pro Preview 72). The right pick depends on what you value most.

  1. OpenAI

    GPT-6.1 Sol

    Released Sep 29, 2026

    72/100
    • ECI—
    • Price$2.00 / $10.00
    • Context1.05M
    Full specs Remove GPT-6.1 Sol

  2. Google

    Gemini 3 Pro Preview

    Released Nov 18, 2025

    72/100
    • ECI153.0
    • Price$2.00 / $12.00
    • Context1.05M
    Full specs Remove Gemini 3 Pro Preview

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (GPT-6.1 Sol 72/100, Gemini 3 Pro Preview 72/100), so choose by what matters most for your work: GPT-6.1 Sol for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because GPT-6.1 Sol has no Capabilities Index score yet.

  • CapabilityGPT-6.1 SolShared benchmarks: GPT-6.1 Sol 97.7% · Gemini 3 Pro Preview 92.0%
  • Lowest priceGPT-6.1 SolGPT-6.1 Sol $4.00 · Gemini 3 Pro Preview $4.50 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-6.1 Sol 1,050,000 · Gemini 3 Pro Preview 1,048,576 tokens
  • Widest inputsGemini 3 Pro PreviewGPT-6.1 Sol: Text, Images, PDFs · Gemini 3 Pro Preview: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-6.1 SolGemini 3 Pro Preview
CapabilityShared benchmarks50%9892
Price25%2119
Inputs & features15%80100
Context window10%6161
Overall100%72/10072/100
02 — Side by side

Every spec in one table

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

GPT-6.1 Sol vs Gemini 3 Pro Preview specifications side by side
SpecificationGPT-6.1 SolOpenAIGemini 3 Pro PreviewGoogle
Capability
Capabilities Index (ECI)—153.0
ECI rank—#39 of 148
GPQA DiamondGraduate-level science questions95.4% (best)92.6%
FrontierMath Tiers 1–3Research-level mathematics93.7%—
OTIS Mock AIME 2024–2025Competition mathematics100% (best)91.4%
SWE-bench VerifiedFixing real GitHub issues—72.9%
SimpleQA VerifiedShort factual questions73.9%—
Price per million tokens
Input$2.00$2.00
Output$10.00 (best)$12.00
Cached input$0.10—
Blended (3:1)$4.00 (best)$4.50
Long-context rateOver 272K: $4.00 / $15.00Same rate
Price sourceOfficial OpenAI APIMedian of 2 providers
Limits
Context window1,050,000 tokens (best)1,048,576 tokens
Max output128,000 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoYes
VideoNoYes
ReasoningYeslow · medium · high · xhigh · maxYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgpt-6.1-sol—
API providers21 (best)3
ReleasedSep 29, 2026Nov 18, 2025
Knowledge cutoffApr 30, 2026Jan 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.

  • GPT-6.1 Sol$40.00
  • Gemini 3 Pro Preview$44.00
04 — Questions

Which should you choose?

Which is better: GPT-6.1 Sol or Gemini 3 Pro Preview?

It is close. Our weighted score puts them within a point (GPT-6.1 Sol 72/100, Gemini 3 Pro Preview 72/100), so choose by what matters most for your work: GPT-6.1 Sol for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because GPT-6.1 Sol has no Capabilities Index score yet.

Which is cheaper, GPT-6.1 Sol or Gemini 3 Pro Preview?

GPT-6.1 Sol is cheaper at $2.00 input / $10.00 output per million tokens (official OpenAI API price). Gemini 3 Pro Preview costs $2.00 input / $12.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $4.00 per million tokens for GPT-6.1 Sol versus $4.50 for Gemini 3 Pro Preview (1.1× as much).

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025): GPT-6.1 Sol 97.7% and Gemini 3 Pro Preview 92.0%. On individual benchmarks: GPQA Diamond — GPT-6.1 Sol 95.4%, Gemini 3 Pro Preview 92.6%; OTIS Mock AIME 2024–2025 — GPT-6.1 Sol 100%, Gemini 3 Pro Preview 91.4%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-6.1 Sol yet, so there is no like-for-like coding score. On overall capability, GPT-6.1 Sol 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-6.1 Sol 1,050,000 and Gemini 3 Pro Preview 1,048,576 tokens. Maximum output per response: GPT-6.1 Sol up to 128,000, Gemini 3 Pro Preview up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GPT-6.1 Sol accepts text, images and PDFs; Gemini 3 Pro Preview accepts text, images, PDFs, audio and video. Gemini 3 Pro Preview handles the widest range of inputs.

Are any of these open source?

No. GPT-6.1 Sol and Gemini 3 Pro Preview are proprietary and only available through APIs and apps.

Which is newer?

GPT-6.1 Sol is the newest, released Sep 29, 2026. Gemini 3 Pro Preview came out Nov 18, 2025. Knowledge cutoff: GPT-6.1 Sol Apr 30, 2026, Gemini 3 Pro Preview Jan 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.

05 — Keep comparing

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