Built for real tasks, making high-frequency intelligence within reach
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B2D (developers)500K-1MGlobalFeature launchDemo
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2.80
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Ling-3.1-flash is an open-source hybrid reasoning model from Ant Ling aimed at developers and product teams who want a single model to handle long, multi-step work like coding, agent orchestration, and UI generation. It has roughly 560 billion total parameters in a mixture-of-experts architecture, but only about 25 billion are active per token, which keeps compute costs closer to a much smaller dense model. The context window caps at 1M , and as the launch tweet shows, the model is positioned to take a rough brief and return a reviewable web page, mobile UI, or interactive prototype rather than isolated snippets.
The release matters because it pushes a frontier-scale open weights model into territory that has mostly been held by closed APIs. InclusionAI built Ling 3.1 Flash for coding, tool use, planning and long-context agent work , and Ling-3.1-flash performs strongly on representative coding/agentic benchmarks including Terminal-Bench 4.0, SWE-bench Pro, FrontierSWE, GDPVal-AA V2.1, Automationbench, MCP-Atlas, SkillsBench . For teams building agents or internal developer tooling, that combination of open weights, long context, and MoE efficiency gives a credible alternative to hosted frontier models.
Ant Ling is the public face of the Ling, Ring, and Ming model families coming out of inclusionAI, Ant Group's AGI initiative . inclusionAI was founded by Ant Group with researchers formerly at OpenAI, Google and FAIR (Meta AI) , and the group has been shipping open models at a steady cadence across foundation, reasoning, and multimodal tracks. Flash is the latest step in that broader push to make large MoE systems usable outside a single company's walls.
Comments (13)
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K
Kavi Rangarajan4h ago
25B active on a 560B MoE is a spicy ratio. Would love to see the router load balancing under adversarial prompts before I believe the 1M context claim.
Z
Zenobia Afolabi3h ago
Open weights are great but where's the eval harness, the tokenizer notes, and a decent quickstart? Devrel checking in, docs are the actual product.
I
Ingrid Vollmer4h ago
The demo cuts right when the UI finishes rendering. Classic. Show me the 40 seconds before that happened.
S
Solenne Dubois3h ago
The pacing in that demo is way too even. No hook in the first 2 seconds, no payoff beat at the end. Thumbnail is doing all the lifting.
L
Lucas Pereira4h ago
ok wait, a model that turns a brief into a reviewable prototype is basically eating the junior designer stack. bold move burying that in a weights drop.
M
Mireia Costa3h ago
first-tap test: can a non-engineer paste a brief and get something usable without reading a readme? that's the only benchmark that matters here.
N
Noor H.4h ago
"Built for real tasks, making high-frequency intelligence within reach" is doing cardio. try: "your rough brief, shipped by lunch."
M
Mikheil T.4h ago
Every foundation model lab now ships a prototype-builder demo. The market for "turn brief into page" is getting crowded faster than anyone wants to admit.
P
Paloma Castañeda4h ago
How big was the team that trained this? Asking because I'm one person and a cat and I need to feel bad about myself today.
R
Ritsuko Hamano4h ago
The thumbnail has three competing focal points and the logo is doing a weird optical float. Someone give the designer another pass.
B
Ben Omar4h ago
"High-frequency intelligence" is a phrase I've now read four times and understood zero. What's the actual retention story once the novelty of prototype-gen wears off?
F
Fuad Reyhan3h ago
hot take: 1M context is the new "we support markdown." show me recall at 800k or I'm closing the tab.
A
Arjun Mittal3h ago
Building something in the same lane and genuinely impressed by the active-param count. Also now slightly nauseous. Good launch.
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Ant Ling
Built for real tasks, making high-frequency intelligence within reach
Built for real tasks, making high-frequency intelligence within reach
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No ratings yet
to rate this launch.
Ling-3.1-flash is an open-source hybrid reasoning model from Ant Ling aimed at developers and product teams who want a single model to handle long, multi-step work like coding, agent orchestration, and UI generation. It has roughly 560 billion total parameters in a mixture-of-experts architecture, but only about 25 billion are active per token, which keeps compute costs closer to a much smaller dense model. The context window caps at 1M , and as the launch tweet shows, the model is positioned to take a rough brief and return a reviewable web page, mobile UI, or interactive prototype rather than isolated snippets. The release matters because it pushes a frontier-scale open weights model into territory that has mostly been held by closed APIs. InclusionAI built Ling 3.1 Flash for coding, tool use, planning and long-context agent work , and Ling-3.1-flash performs strongly on representative coding/agentic benchmarks including Terminal-Bench 4.0, SWE-bench Pro, FrontierSWE, GDPVal-AA V2.1, Automationbench, MCP-Atlas, SkillsBench . For teams building agents or internal developer tooling, that combination of open weights, long context, and MoE efficiency gives a credible alternative to hosted frontier models. Ant Ling is the public face of the Ling, Ring, and Ming model families coming out of inclusionAI, Ant Group's AGI initiative . inclusionAI was founded by Ant Group with researchers formerly at OpenAI, Google and FAIR (Meta AI) , and the group has been shipping open models at a steady cadence across foundation, reasoning, and multimodal tracks. Flash is the latest step in that broader push to make large MoE systems usable outside a single company's walls.
Comments (13)
25B active on a 560B MoE is a spicy ratio. Would love to see the router load balancing under adversarial prompts before I believe the 1M context claim.
Open weights are great but where's the eval harness, the tokenizer notes, and a decent quickstart? Devrel checking in, docs are the actual product.
The demo cuts right when the UI finishes rendering. Classic. Show me the 40 seconds before that happened.
The pacing in that demo is way too even. No hook in the first 2 seconds, no payoff beat at the end. Thumbnail is doing all the lifting.
ok wait, a model that turns a brief into a reviewable prototype is basically eating the junior designer stack. bold move burying that in a weights drop.
first-tap test: can a non-engineer paste a brief and get something usable without reading a readme? that's the only benchmark that matters here.
"Built for real tasks, making high-frequency intelligence within reach" is doing cardio. try: "your rough brief, shipped by lunch."
Every foundation model lab now ships a prototype-builder demo. The market for "turn brief into page" is getting crowded faster than anyone wants to admit.
How big was the team that trained this? Asking because I'm one person and a cat and I need to feel bad about myself today.
The thumbnail has three competing focal points and the logo is doing a weird optical float. Someone give the designer another pass.
"High-frequency intelligence" is a phrase I've now read four times and understood zero. What's the actual retention story once the novelty of prototype-gen wears off?
hot take: 1M context is the new "we support markdown." show me recall at 800k or I'm closing the tab.
Building something in the same lane and genuinely impressed by the active-param count. Also now slightly nauseous. Good launch.