ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini 3.5 Flash vs GPT-5.2 vs Grok 4.5

Gemini 3.5 Flash comes out ahead, 69 to 64 and 61 on our weighted score, though Grok 4.5 is 11% cheaper per token.

  1. Our pick

    Google

    Gemini 3.5 Flash

    Released May 19, 2026

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

    GPT-5.2

    Released Dec 11, 2025

    61/100
    • ECI153.5
    • Price$1.75 / $14.00
    • Context400K
  3. xAI

    Grok 4.5

    Released Jul 8, 2026

    64/100
    • ECI154.0
    • Price$2.00 / $6.00
    • Context500K
01 — Verdict

Gemini 3.5 Flash is our pick

Gemini 3.5 Flash is the better all-round choice, scoring 69/100 against Grok 4.5 (64) and GPT-5.2 (61). It leads on inputs & features and context window. Grok 4.5 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 3.5 FlashCapabilities Index (ECI): Gemini 3.5 Flash 154.5 · Grok 4.5 154.0 · GPT-5.2 153.5
  • Lowest priceGrok 4.5Grok 4.5 $3.00 · Gemini 3.5 Flash $3.38 · GPT-5.2 $4.81 per 1M tokens (3:1 blend)
  • Longest contextGemini 3.5 FlashGemini 3.5 Flash 1,048,576 · Grok 4.5 500,000 · GPT-5.2 400,000 tokens
  • Widest inputsGemini 3.5 FlashGemini 3.5 Flash: Text, Images, PDFs, Audio, Video · GPT-5.2: Text, Images · Grok 4.5: Text, Images
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGemini 3.5 FlashGPT-5.2Grok 4.5
CapabilityCapabilities Index (ECI)50%848383
Price25%251827
Inputs & features15%1007070
Context window10%614448
Overall100%69/10061/10064/100
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 GPT-5.2 vs Grok 4.5 specifications side by side
SpecificationGemini 3.5 FlashGoogleGPT-5.2OpenAIGrok 4.5xAI
Capability
Capabilities Index (ECI)154.5 (best)153.5154.0
ECI rank#33 of 148 (best)#38 of 148#36 of 148
GPQA DiamondGraduate-level science questions92.8%91.4%93.4% (best)
FrontierMath Tiers 1–3Research-level mathematics62.8%67.4% (best)57.2%
OTIS Mock AIME 2024–2025Competition mathematics95.6%96.1%97.8% (best)
SWE-bench VerifiedFixing real GitHub issues79.3% (best)73.8%—
SimpleQA VerifiedShort factual questions66.2% (best)37.1%48.3%
Price per million tokens
Input$1.50 (best)$1.75$2.00
Output$9.00$14.00$6.00 (best)
Cached input$0.15 (best)$0.175$0.30
Blended (3:1)$3.38$4.81$3.00 (best)
Long-context rateSame rateSame rateOver 200K: $4.00 / $12.00
Price sourceOfficial Google APIOfficial OpenAI APIOfficial xAI API
Limits
Context window1,048,576 tokens (best)400,000 tokens500,000 tokens
Max output65,536 tokens128,000 tokens500,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesminimal · low · medium · highYeslow · medium · high · xhighYeslow · medium · high
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgemini-3.5-flashgpt-5.2grok-4.5
API providers32 (best)2124
ReleasedMay 19, 2026Dec 11, 2025Jul 8, 2026
Knowledge cutoffJan 2025Aug 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 3.5 Flash$33.00
  • GPT-5.2$45.50
  • Grok 4.5$32.00
04 — Questions

Which should you choose?

Which is better: Gemini 3.5 Flash, GPT-5.2 or Grok 4.5?

Gemini 3.5 Flash is the better all-round choice, scoring 69/100 against Grok 4.5 (64) and GPT-5.2 (61). It leads on inputs & features and context window. Grok 4.5 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 3.5 Flash, GPT-5.2 or Grok 4.5?

Grok 4.5 is cheaper at $2.00 input / $6.00 output per million tokens (official xAI API price). Gemini 3.5 Flash costs $1.50 input / $9.00 output per million tokens (official Google API price); GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Grok 4.5 versus $3.38 for Gemini 3.5 Flash (1.1× as much) and $4.81 for GPT-5.2 (1.6× as much).

Which scores higher on benchmarks?

Gemini 3.5 Flash scores higher on the Capabilities Index (ECI): Gemini 3.5 Flash 154.5 (#33 of 148), Grok 4.5 154.0 (#36 of 148) and GPT-5.2 153.5 (#38 of 148). The confidence ranges of the top two overlap (152.5–156.6 vs 152.3–156.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Grok 4.5 93.4%, Gemini 3.5 Flash 92.8%, GPT-5.2 91.4%; FrontierMath Tiers 1–3 — GPT-5.2 67.4%, Gemini 3.5 Flash 62.8%, Grok 4.5 57.2%; OTIS Mock AIME 2024–2025 — Grok 4.5 97.8%, GPT-5.2 96.1%, Gemini 3.5 Flash 95.6%; SimpleQA Verified — Gemini 3.5 Flash 66.2%, Grok 4.5 48.3%, GPT-5.2 37.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Grok 4.5 yet, so there is no like-for-like coding score. On overall capability, Gemini 3.5 Flash leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Gemini 3.5 Flash has the largest context window at 1,048,576 tokens, against 500,000 for Grok 4.5 and 400,000 for GPT-5.2. Maximum output per response: Gemini 3.5 Flash up to 65,536, GPT-5.2 up to 128,000, Grok 4.5 up to 500,000 tokens.

Which can read images, PDFs, audio or video?

Gemini 3.5 Flash accepts text, images, PDFs, audio and video; GPT-5.2 accepts text and images; Grok 4.5 accepts text and images. Gemini 3.5 Flash handles the widest range of inputs.

Are any of these open source?

No. Gemini 3.5 Flash, GPT-5.2 and Grok 4.5 are proprietary and only available through APIs and apps.

Which is newer?

Grok 4.5 is the newest, released Jul 8, 2026. Gemini 3.5 Flash came out May 19, 2026; GPT-5.2 came out Dec 11, 2025. Knowledge cutoff: Gemini 3.5 Flash Jan 2025, GPT-5.2 Aug 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.