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    Token Factory Savings

    Cut your inference bill by switching to open models

    Compare closed-model APIs against open-weight models on FlexAI Token Factory, for text and image generation.

    What you're paying today

    $1.25/M input · $10.00/M output

    Shapes the recommendation and the default input/output mix.

    100M
    1M10B

    Recommended open-source swap

    Efficient MoE: frontier quality at mid-tier pricing

    $0.06/M input · $0.09/M output · indicative

    GPT-5 monthly cost

    $475

    with FlexAI Token Factory

    Qwen 3 235B A22B Instruct monthly cost

    $7.43

    You save

    98%

    on every token, vs. GPT-5

    $468 / month

    $5,611 / year

    Closed-source rates reflect published API pricing as of April 2026. Token Factory rates are live. See the pricing page for current per-model rates.

    Example: 100M tokens/month

    ModelProviderMonthly cost
    GPT-5OpenAI$475
    Claude Sonnet 4.6Anthropic$780
    GPT-OSS 120BFlexAI Token Factory$6
    GLM 4.7FlexAI Token Factory$77
    Llama 3.1 8B InstructFlexAI Token Factory$2

    At 100M tokens/month (60/40 input/output mix), switching from GPT-5 to GPT-OSS 120B on Token Factory saves ~$469/month (99%).

    Why open-source costs less

    No proprietary markup

    Closed-source APIs price in R&D recovery, brand, and margin on top of compute. Open-weights models on Token Factory are priced to the underlying inference cost. You pay for tokens (or images), not for the label on the box.

    Same quality tier, different economics

    Open-weights models (Llama 4, Qwen 3, DeepSeek V3.2, FLUX.1) are competitive with frontier closed-source offerings on a growing number of public benchmarks, and for many production workloads they're a drop-in swap.

    FAQ

    How this calculator works, and what the numbers mean.

    Where do the closed-source prices come from?
    Published API rates from OpenAI, Anthropic, and Google as of April 2026, the same per-unit figures you'd see on their pricing pages. For text, we blend input and output token rates using the input/output mix you set under Advanced.
    What prices are you using for the open-source models?
    Per-model rates from the FlexAI Token Factory model database, sourced from OpenRouter, Together AI, and Cloudflare Workers AI. Token Factory rates are now live. See the FlexAI pricing page for current rates.
    What about image models?
    Covered in the Image tab above. We compare DALL-E 3, GPT-Image-1, Imagen 4, and Gemini 2.5 Flash Image ("Nano Banana") against FLUX.1 on FlexAI Token Factory.
    Why does the recommended open-source model change when I switch use case?
    Different open-weights models lead in different workloads: DeepSeek R1 and Kimi K2.5 for reasoning, Qwen 3 Coder for code, Llama 4 Maverick for long-context RAG, GPT-OSS 120B for general chat at mid-tier cost. The picker ranks by use-case fit first, then by price.
    How will this stay current as new models ship?
    The model catalogues and prices live in a small set of data files kept in lockstep with the FlexAI Token Factory model database. We refresh whenever a new frontier-class model lands or a provider re-prices, and we'll do a full pass at every Token Factory pricing update.
    How do I know an open-source model is good enough?
    Run an eval on your own workload. That's the only answer that holds up. Read our guide on evaluating open-source models to understand what benchmarks matter, then use our lm-evaluation-harness blueprint to run 300+ standardized tests on FlexAI with no infra setup.
    How much cheaper is Token Factory compared to OpenAI GPT-5?
    At 100M tokens/month, GPT-5 costs approximately $475/month. GPT-OSS 120B on FlexAI Token Factory costs approximately $6/month, a 99% reduction. GLM 4.7 runs at roughly $77/month for the same volume.
    Which open-source LLM is most cost-effective on Token Factory for high-volume use?
    Llama 3.1 8B Instruct is currently the most cost-effective chat option at ~$0.018/MTok input, making it ideal for high-volume classification, summarization, and RAG workloads. GPT-OSS 120B offers the best cost-performance balance for reasoning-heavy tasks.
    Does Token Factory support OpenAI-compatible APIs?
    Yes. Token Factory uses an OpenAI-compatible REST API. Change your base URL and API key. No SDK changes required. Works with LangChain, LlamaIndex, PortKey, LiteLLM, and any library that supports custom endpoints.
    How does FlexAI Token Factory pricing compare to Fireworks AI or Together AI?
    Token Factory is priced against the credible live market rate per model, source-linked, recalculated automatically whenever any provider moves, with no manual repricing and no model-by-model lag. Fireworks AI and Together AI reprice reactively, model by model. There are no seat fees, no minimums, and no GPU reservations.
    What is FlexAI Token Factory?
    Token Factory is FlexAI's serverless, per-token inference. Pay per token, no GPU reservations required, no upfront commitments. Serves GPT-OSS, GLM 4.7, Llama, Qwen, Gemma, DeepSeek and more. See the live catalog.
    Can I switch from OpenAI to open-source models without rewriting my code?
    Yes. Token Factory is OpenAI API-compatible. Point your existing OpenAI client to https://tokens.flex.ai/v1, replace your key, and change the model name. No code refactoring required.