{"slug": "new-model-available-ling-3-0-flash-fin", "title": "New Model Available: Ling-3.0-flash-Fin", "summary": "InclusionAI released Ling-3.0-flash-Fin, a finance-enhanced mixture-of-experts model built on Ling-3.0-flash with 124 billion total parameters and approximately 5.1 billion activated parameters. The model is optimized for complex multi-step tasks and long-horizon planning in real-world investment workflows, and InclusionAI says its small active parameter footprint delivers competitive financial performance while maintaining strong general capabilities in reasoning, coding, and mathematics.", "body_md": "Ling-3.0-flash-Fin is a finance-enhanced MoE model built on Ling-3.0-flash, with 124 billion total parameters and approximately 5.1 billion activated parameters. Designed for real-world investment workflows, it is optimized for complex multi-step tasks and long-horizon planning and execution. With a relatively small active parameter footprint, it delivers competitive financial performance while maintaining strong general capabilities in reasoning, coding, and mathematics.\n\n[Back to Models](https://zenmux.ai/models)\n\n## Providers\n\nRoute requests across multiple providers. Copy a provider slug to set your preference.\n\n~~$0.06~~\n\n**$0**\n\n*/ M tokens*\n\n~~$0.18~~\n\n**$0**\n\n*/ M tokens*\n\n*Read:*\n\n~~0.012~~\n\n**0**/ M tokens\n\n*Write:*\n\n**-**/ M tokens262.14K3.77s13.0tps\n\n## Uptime\n\n24hours\nDirect request success rate on AI Gateway and per-provider.\n\n## Throughput\n\n24hours\nP50 throughput on live AI Gateway traffic, in tokens per second (TPS).\n\n## Latency\n\n24hours\nP50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.\n\n## Activity\n\nToken volume and request traffic to this model over time.\n\n## Benchmarks\n\nScores on standardized evaluations. Higher percentages are better — and rank percentile shows\n\nMetrics sourced from[Artificial Analysis](https://artificialanalysis.ai/)\n\n## Apps\n\nPublic apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. [View All](https://zenmux.ai/analytics/apps)\n\n## Related Models\n\nMore models from [inclusionAI](https://zenmux.ai/inclusionai)", "url": "https://wpnews.pro/news/new-model-available-ling-3-0-flash-fin", "canonical_source": "https://zenmux.ai/inclusionai/ling-3.0-flash-fin", "published_at": "2026-09-21 07:27:10+00:00", "updated_at": "2026-09-23 11:27:49.353004+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-products", "ai-startups"], "entities": ["InclusionAI", "Ling-3.0-flash-Fin", "Ling-3.0-flash", "Artificial Analysis"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/new-model-available-ling-3-0-flash-fin", "markdown": "https://wpnews.pro/news/new-model-available-ling-3-0-flash-fin.md", "text": "https://wpnews.pro/news/new-model-available-ling-3-0-flash-fin.txt", "jsonld": "https://wpnews.pro/news/new-model-available-ling-3-0-flash-fin.jsonld"}}