inclusionAI's Ling-3.1-flash is now available free of charge on OpenCode. The model is a 560B-total-parameter mixture-of-experts with 25B active parameters and a 262K-token context window.
InclusionAI's Ling 3.1 Flash, a mixture-of-experts model with 25B active parameters, became available free on OpenRouter on October 2nd. A Medium post benchmarks the model, giving practitioners early performance data on the free offering.
InclusionAI's Ling 3.1 Flash, a mixture-of-experts model with 25B active parameters, became available free on OpenRouter on October 2nd. A Medium post benchmarks the model, giving practitioners early performance data on the free offering.
Ling-3.1-flash's weights are now available under an MIT license, adding a self-hostable option to the efficient-model space. The official release cites roughly 210 output tokens per second, an Artificial Analysis Intelligence Index around 41, and a blended price near $0.19 per million tokens.
Ling-3.1-flash's weights are now available under an MIT license, adding a self-hostable option to the efficient-model space. The official release cites roughly 210 output tokens per second, an Artificial Analysis Intelligence Index around 41, and a blended price near $0.19 per million tokens.
Meta released Muse Spark 1.3 on 2026-09-02, targeting improved performance on agentic and coding tasks and real-world usability. The model rolled out in Muse Code and the Meta Model API, with the Contributor variant available on OpenCode Go and a max-reasoning mode planned after safety testing. A Reddit post reports pricing of $0.10 input / $0.20 output per million tokens, matching Fable 5.
Meta released Muse Spark 1.3 on 2026-09-02, targeting improved performance on agentic and coding tasks and real-world usability. The model rolled out in Muse Code and the Meta Model API, with the Contributor variant available on OpenCode Go and a max-reasoning mode planned after safety testing. A Reddit post reports pricing of $0.10 input / $0.20 output per million tokens, matching Fable 5.
Community chatter around AtomicChat's Ling-3.1-flash GGUF quant on Hugging Face
Community chatter around AtomicChat's Ling-3.1-flash GGUF quant on Hugging Face
Ant's Ling team launched Ling-3.0-flash-Fin, a finance-enhanced 124B-total, 5.1B-active MoE built with financial institutions and domain experts. The OpenRouter API route is free for one month, with open-source weights promised the following week. The team itself flags that expert review remains required for key assumptions, valuation outputs, and investment conclusions.
Ant's Ling team launched Ling-3.0-flash-Fin, a finance-enhanced 124B-total, 5.1B-active MoE built with financial institutions and domain experts. The OpenRouter API route is free for one month, with open-source weights promised the following week. The team itself flags that expert review remains required for key assumptions, valuation outputs, and investment conclusions.