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Comments (133)

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  segmondy
  Very nice, multi modal, largest open weight model that supports audio. Would be interesting to see how good the audio capability is.If you want to run locally, checkout https://github.com/danielhanchen/llama.cpp/tree/add-inkling https://unsloth.ai/docs/models/inkling https://huggingface.co/unsloth/inkling-GGUF https://huggingface.co/unsloth/inkling-NVFP4This supposedly is better than KimiK2.7, as much hype as GLM5.2 gets, I find myself using KimiK2.7 half of the time, so if the benchmark is true, then this can definitely go in the mix. My hope is that it might have strengths in some areas to beat all other open weight models.
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  ls_stats
  America needs its own DeepSeek or Z.ai, a lot of people (myself included) root for open chinese models to win because they have no other choice.Thinking Machines might be it.
• wxw
  > Inkling is not the strongest overall model available today, open or closed. Instead, a combination of qualities makes it a good open-weights base for customization: multimodal capabilities, efficient thinking, and availability on Tinker for fine-tuning.Open base models that can be fine tuned on Tinker is a great business model IMO. You (i.e. an enterprise) can own your own model & have it perform frontier-or-better at your task at potentially much lower cost and Thinking Machines gets to be your essential infra/service provider in this world.Also,> Inkling-Small matches or exceeds its larger sibling on many benchmarks — the result of improvements we made to the pre-training data and recipe for the smaller model.Very cool! Excited to see the next generations of Thinky models.
• aabhay
  What strikes me the most is just how many different tasks are involved in modern model design. It used to be the case that you come up with a new loss function, slight architecture changes, etc., run your train and eval loop, and publish the artifacts.Now, there’s so much work to do just to keep up. It’s the ultimate red queen race. All of the 500 steps involved, each of which is its own little optimization loop, is sort of awe inspiring.But obviously this inverts the previous rules that small teams run faster than big teams. AI requires a big team. It’s only once the team pushes past the 1000s that organizational inertia seems to become an issue. Because until then, there’s way too many pieces for even a dozen super stars.
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  ianbutler
  It's nice to see a strong long context open weights model that is multi-modal.There are many applications that will benefit from the strength in audio here and until z.ai and co work in visual this could be very strong for general agentic applications, though I see there's a bit of weakness in the benches for areas that might make that less true.Like all models need to slap it in your harness and do proper evals on the tasks you care about.
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  minraws
  For a first model, and given it's open, I am gaining some faith in American Open research labs again...I couldn't test it since it's not on openrouter or something, but even if it's only as good as GLM5.1 that's more than good enough first attempt, I think.Perhaps a lot more labs will catch up to ballpark frontier esque level soon, I am all for more competition in any field.
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  Reubend
  Seems like this is particularly good at instruction following, but not as strong at coding as others. It's always great to get more diversity of open weight models though! I'll need to test this out to see what its "personality" is like.
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  janalsncm
  For the most part it’s better than Nemotron, worse than GLM. This makes it the best American open weights model from what I can tell?
• Topfi
  Very preliminary testing so far, but there is something here, far beyond what the benchmarks suggest. Only ever saw such outperformance of public evals vs my private ones with Anthropic models and while it is far to early to make any judgement at this stage, this model will take up a lot of mine time in the coming weeks by the look of things. Only ever viewed Moonshot AIs models as something I'd be able to live with open-weight-wise (Z.AIs output simply does not perform as well in my task set), but this has the potential to be the second. If Mistral came out with something like this, I suspect every Europhile (me included) would never stop talking about it.
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  dr_dshiv
  What are the different business models for open-weight AI companies?
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  kancha
  Not compared against Gemma 4? That is a big omission.
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  alansaber
  I never thought i'd see the day they released a model, rather than a blog post. The Figure 3 demo being a screencap of chrome in localhost made me feel better about myself. Jokes aside, best western open weights model- very cool.
• GodelNumbering
  Interestingly, when opening this page, the first thought I had was not that the benchmarks should be high, but 'I really hope they did not benchmaxx'. I think a model with modest benchmark scores can have much better real world utility as opposed to the current frontiers that are RL'd into being robotic and rigid.
• christinetyip
  Excited to try out its capability, especially audio and video.It's nice that it has a long context window, but in practice, I find I always have to clear context btw 150k-400k context even if the context window is 1M on paper.
• firasd
  Looks like it can be tried at https://tinker.thinkingmachines.ai/playground
• hahahaa
  How much mortgage equity would I need to do that 27min fine tune demo on local :)Self fine tuning like that though seems like a whole new set of possibilities unlocked.
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  bbstats
  too bad we'll never know how good it is, since they used a radar plot to show its benchmark scores!
• nickandbro
  Lol slither.io is the new benchmark now? I guess my game slitherworld.com is now something that can be vibecoded too
• veber-alex
  Your first mission should be providing a working dark mode site.Holy flashbang.
• pants2
  The Artifical Analysis has a link on their homepage but it 404's :/https://artificialanalysis.ai/models/inkling
• potwinkle
  Very impressive model, exciting to see an American open-source lab with such competitive results.
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  amarble
  They also indicate they have a 276B A12B version, but it doesn't seem the weights are available. This might actually be able to fit in 128GB when quantized to 2 bits or so which makes it interesting.
• mhluongo
  Interested in the implied strategy - that training a bespoke model for what you need will make economic sense over using a mass-trained model. I wonder if that's true?
• ggcr
  My personal bet is that this model should really shine in Autoresearch NanoGPT-style speedruns because its first-class integration with Tinker
• logicprog
  This seems like a really really great debut model for a new lab. I'm happy
• androiddrew
  Give me a good 180B param model that fits snuggly on an single DGX spark and I will sing your praises.
• luciana1u
  the gap between 'open weights' and 'open source' is now wide enough to fit an entire corporate legal department
• figomore
  Splatoon LLM
• slim
  The MoE design largely follows DeepSeek-V3 why is the model never compared to deepseek in their blog post ?
• solomatov
  It looks like HuggingFace shows Apache-2.0 but they have AUP. How does it work together?
• bobkb
  Happy to see an open weight model ! This has all the right ingredients for success.
• inkvi
  Do they have an api to try the model in real envs?
• dominotw
  everyone and their grandma shipping top tier models now. anthropic and openai trying to capture the app layer with their shitty 'super app'
• insane_dreamer
  I think we’re going to start seeing more OSS models that perform especially well on certain tasks instead of trying to be generalists like the frontier models. That’s a winning formula because if you’re building an app on a model it often has a specific set of use cases
• luciana1u
  the open-weight model release cadence is approaching npm package velocity. soon we'll have left-pad-7b and someone will unpublish it and break half of production
• trilogic
  You certainly cooking smth, Good Luck Mira.
• jijji
  competition in this space is great, especially with open models/weights. I think the answer is not closed source models. Similar to the Unix versus Linux situation in the 1990's, open source wins out. Yesterdays story about how OpenAI has now began encrypting traffic between model and agent [0], this story brings a breath of fresh air. There is nothing "Open" about hiding the communication between model and agent, especially with software that is running within a trusted environment/network. It needs to be more transparent, not less.[0] https://www.theregister.com/ai-and-ml/2026/07/15/openai-hide...
• 2001zhaozhao
  I really respect the epistemtics work here. It might become an accurate, inexpensive open-weight workhorse for high-level prioritization and decision-making work. (Finance bros will also love this)
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  verdverm
  If it's ~30% bigger and not as good as GLM 5.2, why would I tinker with this model?Maybe for the multi modal?
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  RohoSwagger
  why is this website ai slop
• raverbashing
  Cool, now we just need the GPU that supports it
• anon
  undefined
• MaxPock
  [flagged]
• CurbStomper
  [dead]
• SarahNickler
  [flagged]
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  MaxPock
  Raised 2 billion dollars at a 12 billion valuation and debuts at 41 on the Artificial Analysis Intelligence Index, while KIMI and DeepSeek will release Fable-class models this week. What a joke.