Doubleword
    Choose your timeframe, manage your costs, regain control.

    Cost Optimised LLM Inference

    Stop paying the real-time premium for non-blocking workloads. If your application doesn't require millisecond latency, route your jobs through our async or batch queues and save up to 90%.

    Same intelligence, a fraction of the cost

    Cost per 1B in + 1B out.
    Comparable model intelligence.
    SLA: Minutes to hours
    DoublewordDeepSeek-V4-Pro
    $2,930
    OpenAIGPT-5.2
    $15,750
    5.4x
    AnthropicClaude Opus 4.6
    $30,000
    10.2x

    Trusted by

    KenAI logoDataiku logoOpenMed logoUnaGo AI logonPlan logoNXL logoElement Materials logoKenAI logoDataiku logoOpenMed logoUnaGo AI logonPlan logoNXL logoElement Materials logo

    “Using Doubleword's Batch inference has significantly scaled up our ability to do agentic evals and dataset generation thanks to the highly scalable inference of the best open source models, at a fraction of the cost of other providers.”

    Alan Mosca · CTO, nPlan

    “Doubleword is the first inference provider that just runs our batch jobs reliably and fast, with a clean async API and a UI that actually helps.”

    Cristian Frunze · Founder, Ken AI

    “The Doubleword team worked with us on batch annotation at scale. Their API made it economically viable to run two full annotation passes plus two cross-validation passes over 119K images with frontier reasoning models.”

    Maziyar Panahi · Founder, OpenMed

    “Doubleword's batch and async pricing tiers let us match each workload to the right cost-latency tradeoff. We're paying 50 to 80% less for background work that doesn't need real-time latency.”

    Max Mednikov · CTO & Co-Founder, UnaGo AI

    “Doubleword is our inference layer — it lets us enable multiple use cases across the business with a single point of governance and control. It fits seamlessly into our data platform and has unlocked use cases that weren't possible before due to scale and strict requirements.”

    Rek Chong · Sr. Director, Solutions & Insights, Element Materials

    Our Bet

    The largest volume of tokens comes from asynchronous AI workloads.

    Interactive chat is a small slice of AI inference. The real volume - agents, pipelines, evals, data enrichment - runs continuously and is throughput-constrained, not latency-constrained. We've built an inference stack that maximises GPU utilization, throughput, and cost-efficiency for large-scale asynchronous inference.

    High throughput inference APIs

    Doubleword's APIs are the most efficient for every SLA

    OpenAI compatible for easy migration. Full tool calling and structured generation support. Trade latency for cost. Pick the window that fits your workflow.

    async_request.py
    from openai import OpenAI
    
    client = OpenAI(
        base_url="https://api.doubleword.ai/v1",
        api_key="{{apiKey}}"
    )
    
    resp = client.responses.create(
        model="Qwen/Qwen3-VL-235B-A22B-Instruct-FP8",
        input="Summarize the history of artificial intelligence.",
        service_tier="flex",
    )
    
    print(resp.output_text)
    Per-token pricing

    Same Intelligence. Fraction of the price.

    Cost to process 1 billion tokens in + 1 billion tokens out at comparable intelligence.

    Model
    Anthropic
    $30K
    OpenAI
    $15.8K
    Industry Average
    $5.2K
    Doubleword
    $2.9K
    $0$7.5K$15K$22.5K$30K

    Intelligence via Artificial Analysis Index v4.0 · Hover any bar for full pricing details · Want access to a model you don't see here — just ask us!

    No credit card required · No minimum spend · Pay only for tokens used

    Try DeepSeek-V4-Pro for free
    Workbooks

    Built for your highest volume use cases

    Production-ready templates you can fork and run today.

    Async Agents

    Autonomous AI workflows that run without human intervention.

    Classification

    Categorize, label, and detect patterns in your data.

    Data Processing

    Clean, transform, and prepare data at scale.

    Data Enrichment

    Augment datasets with additional context and metadata.

    Embeddings

    Convert text and data into vector representations.

    Image Processing

    Analyze, summarize, and extract insights from images.

    Model Evals

    Benchmark and compare model performance systematically.

    Structured Generation

    Extract and format data into consistent schemas.

    Synthetic Data

    Generate realistic training and test datasets.

    As featured in

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    Department for Science, Innovation & Technology logo

    FAQs

    Stop overpaying for inference.

    Run your background agents and workloads at a fraction of the price and double the scale.