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    OpenCode Releases Muse Spark 1.2 Contributor Model

    OpenCode offers the model with opt-in data training and high usage limits in exchange.

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    18 Sources, 42d ago, first seen 42d ago

    TLDR

    OpenCode announced Muse Spark 1.2 Contributor is now available on its Go platform. The company stated the model trains on user data and therefore requires explicit opt-in, with regional restrictions applying. In return it provides near unlimited usage. The same update included 50 percent off GPT 5.6 Sol and a $10 credit for $480 of Hy3 usage. Separate posts from the account offered Ox Alpha, a stealth model with 1M context and multi-modal support, free for one week with zero data retention and capacity for 100T tokens per day. Users and observers posted screenshots and questions about the claimed scale.

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    18 Sources, first seen 42d ago

    Combined views

    8.5M

    18 Sources, first seen 42d ago

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    1.8K comments
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    18 Sources

    @thdxryeah this came at a good time
    @opencodeMuse Spark 1.2 Contributor is now available on OpenCode Go this model will train on your data so it requires explicit opt-in and is restricted in some regions in exchange you get incredible usage limits
    @theo“We have capacity for 100T tokens per day” Okay who the fuck made this model and where did they get this much compute?
    @teortaxesTexI don't know ZAI unit economics, but nothing stops them from running a 5.3 scale model at DS-V4 rate. That's ≈2K/"GPU"/s at 80ish tps (DSpark is not the limit, 40<49 etc.). At these speeds, 100T/day needs ≈580K "GPU"s. Either they don't mean output tokens, or… unlikely things.
    @DanielleFongRT @opencode: Ox Alpha (stealth model) is free for the next week - 1M Context - Multi-modal - Zero Data Retention Generous rate limits, n…
    @Yampelegwhatever the hell that thing it's good
    @kimmonismusA mysterious new AI model just appeared. Ox Alpha offers a 1M context window, multimodal capabilities, zero data retention, and nearly unlimited usage for an entire week. OpenCode says it has capacity for 100 trillion tokens per day. That’s 1.16b tokens per second. Where the heck did they get that much compute? Nobody knows which company built it.
    @omarsar0Ox Alpha is available on OpenRouter and OpenCode.
    @winkey_hOk ox-alpha has that big model smell I'm getting around 63% at 47K avg output tokens on a DeepSWE subset This is pareto optimal amongst open models and just shy of Grok 4.6 compared to closed models!

    18 Sources

    @thdxryeah this came at a good time
    @opencodeMuse Spark 1.2 Contributor is now available on OpenCode Go this model will train on your data so it requires explicit opt-in and is restricted in some regions in exchange you get incredible usage limits
    @theo“We have capacity for 100T tokens per day” Okay who the fuck made this model and where did they get this much compute?
    @teortaxesTexI don't know ZAI unit economics, but nothing stops them from running a 5.3 scale model at DS-V4 rate. That's ≈2K/"GPU"/s at 80ish tps (DSpark is not the limit, 40<49 etc.). At these speeds, 100T/day needs ≈580K "GPU"s. Either they don't mean output tokens, or… unlikely things.
    @DanielleFongRT @opencode: Ox Alpha (stealth model) is free for the next week - 1M Context - Multi-modal - Zero Data Retention Generous rate limits, n…
    @Yampelegwhatever the hell that thing it's good
    @kimmonismusA mysterious new AI model just appeared. Ox Alpha offers a 1M context window, multimodal capabilities, zero data retention, and nearly unlimited usage for an entire week. OpenCode says it has capacity for 100 trillion tokens per day. That’s 1.16b tokens per second. Where the heck did they get that much compute? Nobody knows which company built it.
    @omarsar0Ox Alpha is available on OpenRouter and OpenCode.
    @winkey_hOk ox-alpha has that big model smell I'm getting around 63% at 47K avg output tokens on a DeepSWE subset This is pareto optimal amongst open models and just shy of Grok 4.6 compared to closed models!