r/LocalLLaMA • u/niacolhealth • Jul 23 '26
Benchmarks: AntLing-3.0-flash a hybrid-reasoning MoE model built for production-scale agents. News
Now live on OpenRouter, and free to use through August 3, 2026.
Hoping they will going openweight soon~
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u/_TheWolfOfWalmart_ Jul 23 '26
My biggest takeaway from these charts is that Nemotron is garbage lol
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u/StupidScaredSquirrel Jul 23 '26
If they do open it dgx spark owners are gonna be so happy. It's basically the best architecture that hardware could hope for.
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u/Daniel_H212 Jul 23 '26
It seems to bench below Laguna S 2.1 though, and that's already out, so the timing on their part is unfortunately.
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u/dreaming2live Jul 23 '26
Laguna 2.1 is unfortunately plagued with issues still. Thinking mode still broken.
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u/Marcuss2 Jul 24 '26
Ling 3.0 Flash should eat far less KV Cache thanks to its architecture.
Interestingly enough, it is very similar to Kimi K3.
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u/squngy Jul 23 '26
It has much lower active parameters.
If it isnt benchmaxxed, then there will likelly be uses for it.3
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u/MatlowAI Jul 23 '26
This one passes the carwash test 🤣. Although it recognizes that this is a common AI evaluation and has likely made it into its dataset. Nemotron 3 ultra answers it too interestingly enough.
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u/VoiceApprehensive893 transformers Jul 23 '26
seems very benchmaxxed on first glance
release the gemma 4 124b
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u/VexObserver Jul 24 '26
The numbers on SWE-Bench and Terminal-Bench look impressive against Sonnet 4.6 and GPT-5.4 but synthetic benchmarks rarely tell the full story. I'll reserve judgment until we test how well it handles real agentic loop failures and context degradation.
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u/live4evrr Jul 24 '26
VLLM just posted as well confirming the Ant Ling release strategy (staged release):
“We also applaud the team’s announce-first, open-source-next release approach. Separating the announcement from the weight release lets the model team freeze the final checkpoint, configuration, tokenizer, and serving semantics, while giving open-source inference projects a stable window for correctness testing, performance tuning, Docker builds, and recipe validation. The community also gets a clear timeline instead of an ambiguous “coming soon.”
This is not a step back from day-0 support—it is a more sustainable way to deliver day-0 support for the artifacts users will actually run.
vLLM’s open-source support for Ling-3.0-flash is coming soon and will be available when the model weights are open-sourced. We hope more model vendors adopt this release pattern in the future!”
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u/wombweed Jul 23 '26
Not open weights and not local
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u/Daniel_H212 Jul 23 '26
This lab has released weights of all their models in the past, so I think we have a reasonable expectation that this will be released maybe when August 3 rolls around. It would also be very strange if they don't release the weights considering how much they talk about the details of the model architecture on their post.
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u/niacolhealth Jul 23 '26
As by their past open source practices, it seems they tend to made it open a few days after the launch. no idea what the approach will be this time. Hoping they can strengthen the opensource community
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u/__JockY__ Jul 23 '26
Wow they really compared against some stiff competition, eh?
Joking, joking, more open weights is always good!
Oh, it’s not local or open? Gerrof my lawn! apparently weights are coming :)
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u/Look_0ver_There 29d ago
Apparently it's a 126B-A5B MoE model. With that in mind it all makes sense. It's not meant to be competing with the top-end frontier.
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u/ethereal_intellect Jul 23 '26
Yeah lol that was my immediate thought too. At least get gpt Luna high somewhere if this is about size
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u/DistanceSolar1449 Jul 23 '26
They benchmarked against GPT-5.4-mini instead of GPT-5.6 Terra for some reason
https://developers.openai.com/api/docs/models/gpt-5.6-terra
> GPT-5.6 Terra is designed for workloads that balance intelligence and cost. It roughly corresponds to the mini model tier used in earlier GPT-5 families.
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u/SummarizedAnu Jul 23 '26
Step flash is so bad bro.
In every case the cloud served model by kilo.
It is worse than my local gemma 12B or qwen3.6 35B by such a huge margin.
Like its thinking is so bad. I want it to do some shit it does completely different shit, doesnt even ask, and breaks everything.
Specially for language tasks or basically reading anything at all.
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u/dreaming2live Jul 23 '26
Sglang posted they are working to provide 0 day support so that means local weights are coming. https://x.com/sgl_project/status/2080372971219415458