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Comparison · 2 models · Updated Oct 4, 2026

Gemini 3.5 Flash vs Gemini 3.1 Pro Preview

Too close to call on our weighted score (Gemini 3.5 Flash 69, Gemini 3.1 Pro Preview 68). The right pick depends on what you value most.

  1. Google

    Gemini 3.5 Flash

    Released May 19, 2026

    69/100
    • ECI154.5
    • Price$1.50 / $9.00
    • Context1.05M
  2. Google

    Gemini 3.1 Pro Preview

    Released Feb 19, 2026

    68/100
    • ECI154.8
    • Price$2.00 / $12.00
    • Context1.05M
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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Gemini 3.5 Flash 69/100, Gemini 3.1 Pro Preview 68/100), so choose by what matters most for your work: Gemini 3.1 Pro Preview for raw capability and Gemini 3.5 Flash on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 3.1 Pro PreviewCapabilities Index (ECI): Gemini 3.1 Pro Preview 154.8 · Gemini 3.5 Flash 154.5
  • Lowest priceGemini 3.5 FlashGemini 3.5 Flash $3.38 · Gemini 3.1 Pro Preview $4.50 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGemini 3.5 Flash 1,048,576 · Gemini 3.1 Pro Preview 1,048,576 tokens
  • Widest inputsSame inputsGemini 3.5 Flash: Text, Images, PDFs, Audio, Video · Gemini 3.1 Pro Preview: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGemini 3.5 FlashGemini 3.1 Pro Preview
CapabilityCapabilities Index (ECI)50%8484
Price25%2519
Inputs & features15%100100
Context window10%6161
Overall100%69/10068/100
02 — Side by side

Every spec in one table

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

Gemini 3.5 Flash vs Gemini 3.1 Pro Preview specifications side by side
SpecificationGemini 3.5 FlashGoogleGemini 3.1 Pro PreviewGoogle
Capability
Capabilities Index (ECI)154.5154.8 (best)
ECI rank#33 of 148#31 of 148 (best)
GPQA DiamondGraduate-level science questions92.8%94.4% (best)
FrontierMath Tiers 1–3Research-level mathematics62.8% (best)59.7%
OTIS Mock AIME 2024–2025Competition mathematics95.6%95.6% (best)
SWE-bench VerifiedFixing real GitHub issues79.3% (best)75.6%
SimpleQA VerifiedShort factual questions66.2%73.5% (best)
Price per million tokens
Input$1.50 (best)$2.00
Output$9.00 (best)$12.00
Cached input$0.15 (best)$0.20
Blended (3:1)$3.38 (best)$4.50
Long-context rateSame rateOver 200K: $4.00 / $18.00
Price sourceOfficial Google APIOfficial Google API
Limits
Context window1,048,576 tokens1,048,576 tokens
Max output65,536 tokens65,536 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioYesYes
VideoYesYes
ReasoningYesminimal · low · medium · highYeslow · medium · high
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgemini-3.5-flashgemini-3.1-pro-preview
API providers32 (best)26
ReleasedMay 19, 2026Feb 19, 2026
Knowledge cutoffJan 2025Jan 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 3.5 Flash$33.00
  • Gemini 3.1 Pro Preview$44.00
04 — Questions

Which should you choose?

Which is better: Gemini 3.5 Flash or Gemini 3.1 Pro Preview?

It is close. Our weighted score puts them within 1 points (Gemini 3.5 Flash 69/100, Gemini 3.1 Pro Preview 68/100), so choose by what matters most for your work: Gemini 3.1 Pro Preview for raw capability and Gemini 3.5 Flash on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 3.5 Flash or Gemini 3.1 Pro Preview?

Gemini 3.5 Flash is cheaper at $1.50 input / $9.00 output per million tokens (official Google API price). Gemini 3.1 Pro Preview costs $2.00 input / $12.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $3.38 per million tokens for Gemini 3.5 Flash versus $4.50 for Gemini 3.1 Pro Preview (1.3× as much).

Which scores higher on benchmarks?

Gemini 3.1 Pro Preview scores higher on the Capabilities Index (ECI): Gemini 3.1 Pro Preview 154.8 (#31 of 148) and Gemini 3.5 Flash 154.5 (#33 of 148). The confidence ranges of the top two overlap (152.6–157.3 vs 152.5–156.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 3.1 Pro Preview 94.4%, Gemini 3.5 Flash 92.8%; FrontierMath Tiers 1–3 — Gemini 3.5 Flash 62.8%, Gemini 3.1 Pro Preview 59.7%; OTIS Mock AIME 2024–2025 — Gemini 3.1 Pro Preview 95.6%, Gemini 3.5 Flash 95.6%; SWE-bench Verified — Gemini 3.5 Flash 79.3%, Gemini 3.1 Pro Preview 75.6%; SimpleQA Verified — Gemini 3.1 Pro Preview 73.5%, Gemini 3.5 Flash 66.2%.

Which is better for coding?

Gemini 3.5 Flash resolves more real GitHub issues on SWE-bench Verified: Gemini 3.5 Flash 79.3% and Gemini 3.1 Pro Preview 75.6%. Both support tool calling for agent workflows.

Which has the bigger context window?

Gemini 3.5 Flash and Gemini 3.1 Pro Preview share the same 1,048,576-token context window. Maximum output per response: Gemini 3.5 Flash up to 65,536, Gemini 3.1 Pro Preview up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Gemini 3.5 Flash accepts text, images, PDFs, audio and video; Gemini 3.1 Pro Preview accepts text, images, PDFs, audio and video. They handle the same number of input types.

Are any of these open source?

No. Gemini 3.5 Flash and Gemini 3.1 Pro Preview are proprietary and only available through APIs and apps.

Which is newer?

Gemini 3.5 Flash is the newest, released May 19, 2026. Gemini 3.1 Pro Preview came out Feb 19, 2026. Knowledge cutoff: Gemini 3.5 Flash Jan 2025, Gemini 3.1 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.