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RESEARCH / STRUCTURED DECISIONS

SPX-CD-PreviewOpen-source multimodal fast decision models.

SPX-CD (Simplex Calibrated Decision Model) uses text, images, and candidate options to quickly return choices, probabilities, and scores your application can use.

API calls โ†—Run test cases โ†—

SPX-CD / IN ACTION

01 / 07
SHOWCASEScroll for more โ†“
Photo credits โ†—

02 / LIVE BROWSER

Give it a task. Watch it work.

Try flight planning, product search, or form filling.

200 API calls

Each inference uses one API call, up to 25 calls per task. IKEA visits a live website; other tabs use interactive sample pages. No purchases or external form submissions.

โ— โ— โ—Simplex BrowserThis task: 0 / 25 API callsReady
Live browser screenshot
Enter a task to watch the browser work and see the result.

    03 / TEST CASES

    Try these decision tasks.

    Choose an example to try multiple questions, multi-select, scoring, or image-based decisions.

    Edit request JSON

    Model results

    Run an example to see the modelโ€™s answers.

    04 / EVALUATION

    Evaluation results

    CMDB-1500, JevBench and Decision Index compare decision accuracy and probability calibration.

    CMDB-1500

    1,200 text tasks and 300 image tasks. SPX-CD uses effort=2 in this evaluation.

    SPX-CD-Pro81.20%Overall accuracy ยท 1,500 questions
    SPX-CD-Flash79.53%Overall accuracy ยท 1,500 questions
    SPX-CD-Omni76.27%Overall accuracy ยท 1,500 questions
    Filter
    SPX-CDJevGeneral reasoning modelsOther decision models

    View exact text results
    CMDB-1500 Text results; fixed total 1,200, valid answers counted over the full evaluated scope
    RankModel / versionAccuracy ยท 0โ€“100%Correct / fixed totalValid / evaluated scope
    01GPT 6.1 Sol ยท low80.00%960 / 1,2001,500 / 1,500
    02SPX-CD-Pro79.33%952 / 1,2001,500 / 1,500
    03Claude Sonnet 5.5 ยท low78.00%936 / 1,2001,500 / 1,500
    04StartLux-Decision-27B ยท BF1677.92%935 / 1,2001,500 / 1,500
    05pplx-decider ยท v1.1 27B77.83%934 / 1,2001,500 / 1,500
    06SPX-CD-Flash77.58%931 / 1,2001,500 / 1,500
    07GPT 6 Luna ยท low76.58%919 / 1,2001,500 / 1,500
    08Microsoft-Decision-1 ยท9B76.17%914 / 1,2001,200 / 1,200
    09GLM 5.3 Flash ยท low75.75%909 / 1,2001,500 / 1,500
    10StartLux-Decision-35B-A3B ยท BF1675.67%908 / 1,2001,500 / 1,500
    11SPX-CD-Omni74.67%896 / 1,2001,500 / 1,500
    12Mercury Decide73.92%887 / 1,2001,200 / 1,200
    13pplx-decider 27B72.83%874 / 1,2001,500 / 1,500
    14Jev72.17%866 / 1,2001,200 / 1,200
    15Open-Jev ยท Zefan 27B71.67%860 / 1,2001,199 / 1,200
    16Cloudflare Clef71.50%858 / 1,2001,485 / 1,500
    17JPT ยท 9B71.33%856 / 1,2001,500 / 1,500
    18Qwen 3.8 Flash71.08%853 / 1,2001,500 / 1,500
    19Kimi K2.671.00%852 / 1,2001,500 / 1,500
    20Mapika ยท Decider 4B v2.169.83%838 / 1,2001,200 / 1,200
    21Cloudflare Clef-flash69.67%836 / 1,2001,485 / 1,500
    22GPT 6 Luna Decisions69.67%836 / 1,2001,498 / 1,500
    23Imajev-9B68.83%826 / 1,2001,478 / 1,500
    24Kev ยท 9B68.67%824 / 1,2001,200 / 1,200
    25DeepSeek V4.1 Flash68.58%823 / 1,2001,500 / 1,500
    26JPT ยท 4B67.67%812 / 1,2001,500 / 1,500
    27Decision Lux ยท 9B67.42%809 / 1,2001,200 / 1,200
    28Quyet-1.0 ยท Large 31B67.08%805 / 1,2001,085 / 1,200
    29Jet ยท v6.2 4B66.92%803 / 1,2001,200 / 1,200
    30Open-Jev ยท Zefan 9B66.67%800 / 1,2001,199 / 1,200
    31Wity-1 ยท auto66.67%800 / 1,2001,426 / 1,500
    32Nimble ยท v2 9B66.58%799 / 1,2001,200 / 1,200
    33Hopper G ยท 4B v1.365.92%791 / 1,2001,200 / 1,200
    34Malkuth ยท 4B65.58%787 / 1,2001,200 / 1,200
    35Hopper ยท 4B65.50%786 / 1,2001,200 / 1,200
    36Winnow ยท 12B Q865.33%784 / 1,2001,410 / 1,500
    37JevK564.83%778 / 1,2001,200 / 1,200
    38Lev ยท 4B64.58%775 / 1,2001,200 / 1,200
    39Kev ยท4B API64.33%772 / 1,2001,200 / 1,200
    40Mica ยท 4B BF16 GGUF64.25%771 / 1,2001,200 / 1,200
    41Kev ยท 4B64.17%770 / 1,2001,200 / 1,200
    42Jev-Omni ยท 12B63.58%763 / 1,2001,493 / 1,500
    43APUS OpenJev ยท 9B 3000 High61.42%737 / 1,2001,085 / 1,200
    44OpenDecider ยท Small61.25%735 / 1,2001,200 / 1,200
    45APUS OpenJev ยท 9B 5949 High61.08%733 / 1,2001,085 / 1,200
    46OpenDecider ยท Small TD60.67%728 / 1,2001,200 / 1,200
    47APUS OpenJev ยท 4B 5949 High60.08%721 / 1,2001,085 / 1,200
    48Ateve Jev59.75%717 / 1,2001,087 / 1,200
    49Bocha Jev58.92%707 / 1,2001,087 / 1,200
    50Winnow ยท E4B Q858.92%707 / 1,2001,410 / 1,500
    51Reflex ยท Stable 4B58.50%702 / 1,2001,387 / 1,500
    52Plumb ยท v5.2 4B58.08%697 / 1,2001,085 / 1,200
    53FLock THIS/THAT57.67%692 / 1,2001,156 / 1,200
    54Kev ยท 0.8B51.75%621 / 1,2001,200 / 1,200
    55Bosun v3.1 ยท 1.7B49.75%597 / 1,2001,200 / 1,200
    56OpenDecider ยท Nano46.75%561 / 1,2001,143 / 1,200
    57CalDec ยท Laya46.08%553 / 1,2001,189 / 1,200
    58Bosun v3.1 ยท 0.6B45.58%547 / 1,2001,200 / 1,200
    59Laya ยท Typed Decisions44.58%535 / 1,2001,189 / 1,200
    60CalDec ยท GLiNER43.17%518 / 1,2001,200 / 1,200
    61Laya ยท English41.00%492 / 1,2001,189 / 1,200
    62Laya ยท Multilingual40.25%483 / 1,2001,192 / 1,200
    63GLiNER2.5-Decide38.58%463 / 1,2001,200 / 1,200
    64Julia-135.75%429 / 1,2001,079 / 1,200
    65Liquid AI ยท d1-omni-600M35.50%426 / 1,2001,128 / 1,500
    66CLM v0.1 ยท 8B34.92%419 / 1,2001,200 / 1,200

    Switch between text, image, and overall accuracy.

    JevBench and Decision Index

    Decision Index ยท JevBench Public 231 ยท JevBench Hard 111
    ModeleffortDecision Index โ†‘0.2.1JevBench Public 231JevBench Hard 111
    Accuracy โ†‘ECE โ†“Accuracy โ†‘ECE โ†“
    SPX-CD-Pro158.3089.61%207 / 2313.46%79.28%88 / 1114.73%
    2โ€”90.04%208 / 2315.78%80.18%89 / 1119.80%
    SPX-CD-Flash154.6588.31%204 / 2313.36%77.48%86 / 1115.18%
    2โ€”89.18%206 / 2312.41%77.48%86 / 1117.06%
    Jev 1.13.0โ€”57.9186.58%200 / 231โ€”72.97%81 / 111โ€”

    05 / OVERVIEW

    Decisions your code can use.

    Provide the context, a question, and candidate options. SPX-CD returns a structured result that your application can use to choose an action, select multiple options, or apply a confidence threshold.

    In a browser agent, SPX-CD selects the next action. Browser tools click, type, and read the updated page before the model makes another decision.

    SPX-CD-Flash, SPX-CD-Pro, and SPX-CD-Omni are open source on Hugging Face, with LoRA weights, inference code, and evaluation results.

    06 / BUILD

    One interface. Four decisions.

    choice

    Choose one candidate action.

    multi_choice

    Select multiple options within the requested limits.

    noul

    Estimate the probability of yes.

    score

    Score an ordered set of levels.

    Try SPX-CD.

    Run a task in the Playground or connect your application through the API.

    Playground โ†—Read the API docs โ†—

    SURD AI / PLAYGROUND

    Continue in the platform Playground with your account allowance.