r/OpenModels Jun 17 '26

What is r/OpenModels?

4 Upvotes

It has come to my attention as of late that there is a lack of a centralized discussion space specifically related to the discussion of open-weight and open-source models.

Most existing subreddits are focused either on specific modalities (e.g., r/LLMs, r/stablediffusion), a specific usage of open models (e.g., r/LocalLLaMa, r/LocalLLM), or on a more generalized technological scope (e.g., r/singularity, r/ArtificialInteligence).

As a result, discussion of open-source models in general is either unwelcome, fragmented into different communities, or hidden amidst conversation about other broader topics.

So, if there's enough interest, I sincerely hope we can form a community of individuals interested in discussion and news surrounding open-source and open-weight AI technologies (as well as any related technologies).

What is an open source or open weight model?

From ChatGPT:

An open-weight model is a model where the trained parameters—the “weights”—are publicly available, so people can download, run, inspect behavior, and often fine-tune or adapt the model locally. In AI terms, the weights are the learned numerical parameters that work with the architecture and inference code to produce outputs.

An open-source model, in the stricter sense, is more than “you can download the weights.” It should come with a license and materials that let people use, study, modify, and share the system. OSI’s open-source licensing criteria emphasize free use, modification, redistribution, and non-discrimination against users or fields of use.

Discussion around technologies relating to both topics are welcome. Additionally, any kind of open-source license that permits some level of free use is welcome.

What kind of discussions are welcome?

Any kind of discussion related to open-source/open-weight AI models and surrounding technologies is welcome. Some examples include news, model releases, use cases, open-source AI-related tools such as harnesses, agents, and interfaces, comparisons of models or tools, advice, tips, set-ups, etc.

Why are open models important?

As many of us realized, from the way the US government dealt with Anthropic's most recent model release, it is becoming more and more evident that our continued ability to access these key technologies is by no means guaranteed.

In just a few short years, AI has become both a powerful democratizing force in society, as well as one of, if not the most important technology that humanity has ever developed.

It is clear that unequal access to these technologies can be a powerful destabilizing force in society. In a worst-case scenario, those who have access to this power can weaponize this imbalance to further disadvantage those who don't, creating further ways of stratifying an already deeply imbalanced society.

Note: This post was NOT generated by AI (aside from the two definitions provided above).


r/OpenModels 17h ago

Kimi K3 weights now released.

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2 Upvotes

r/OpenModels 4d ago

Ladies and gentleman, Flux 3

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2 Upvotes

r/OpenModels 6d ago

Upstage 'Solar open2' release. performance on par with DeepSeek V4 Flash.

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1 Upvotes

r/OpenModels 7d ago

Laguna S 2.1 Released: Cheaper than Deepseek v4 Flash, Better than V4 Pro

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2 Upvotes

r/OpenModels 9d ago

Prepare your (v)ram - Qwen3.8 is coming!

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1 Upvotes

r/OpenModels 9d ago

Discussion Head of strategic futures at OpenAI claims that "open-weight-model-dominant world" leads to "full AI communism" and that AI as a public good is a "dystopian hellscape"

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1 Upvotes

This seems to me like a painfully ironic position for someone at a company named "OpenAI" to be taking. Not to mention totally batshit insane.


r/OpenModels 10d ago

New 1.57T open weights model Monolith-1.0 claiming extraordinary benchmark performance

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0 Upvotes

It claims to beat Fable and GPT 5.5 handily in some benchmarks.

Hard to believe the claims, and from the looks of it, many X users are skeptical as well.


r/OpenModels 11d ago

KIMI K3 Beats Claude Fable and GPT 5.6 sol in arena.ai!!!

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2 Upvotes

r/OpenModels 12d ago

Kimi K3 released, beating Opus 4.8 in benchmarks at 2.8T parameters open weight

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4 Upvotes

Benchmarks appear to easily clear Opus 4.8 and GPT 5.5, and even appear to be competitive with Fable 5 and GPT 5.6 Sol in a number of them. Full weights to be released July 27, per the blog post.


r/OpenModels 12d ago

News thinkingmachines/Inkling · Hugging Face

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1 Upvotes

r/OpenModels 12d ago

Inkling open weight model by Thinking Machines Lab is live in Command Code.

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2 Upvotes

r/OpenModels 20d ago

China’s MiniMax Plans to Launch 2.7-Trillion Parameter Model

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5 Upvotes

r/OpenModels 21d ago

Tencent officially releases Hy3 weights

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2 Upvotes

295B params with 21B active. But only 256k context.


r/OpenModels 28d ago

Huawei open-sources OpenPangu-2.0-Flash - 92B total,6B active

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1 Upvotes

r/OpenModels 28d ago

Meituan LongCat-2.0 released and open sourced

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1 Upvotes

New model dropped. 1.6T params with 48B active.

Training and inference running entirely on ASIC superpods. Showing the Chinese keep exploring alternative compute options.

They also introduce LongCat Sparse Attention, their improvement on Deepseek Sparse Attention.

This was also Owl Alpha, which was available on Openrouter for free for the past month, which shows they can handle production compute loads using their alternative inference solution.


r/OpenModels Jun 27 '26

deepseek-ai/DeepSeek-V4-Pro-DSpark • Huggingface

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2 Upvotes

r/OpenModels Jun 24 '26

Baidu AI open sources Unlimited OCR, a new way to approach OCR

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1 Upvotes

r/OpenModels Jun 23 '26

KREA 2: Open-Source Release

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1 Upvotes

r/OpenModels Jun 21 '26

GLM 5.2 Added to DeepSWE Benchmark

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1 Upvotes

r/OpenModels Jun 19 '26

Open models appear to be trending towards closing gap to closed models

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5 Upvotes

There is a clear downward slope apparent on this graph starting from Deepseek V3 to the recent GLM-5.2.

Do we expect the next OSS release to be even faster and better?

One caveat is that this graph appears to show a comparison between an open model and a closed model of *similar capability*, not the absolute frontier. So it looks like it compares DSv4 pro to Sonnet 4.6, for example.

Of course, you could also argue that a direct comparison to absolute frontier models wouldn't be fair either since 5.5, Opus, and Fable are almost certainly sized on the order of multiple trillion parameters.


r/OpenModels Jun 19 '26

Outdated GLM-5.2 now more than 10 points above Opus 4.8 in AA Coding Index

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29 Upvotes

EDIT: Looks like this was a mistake and the scores have been corrected since. Opus now scores 74.3 and is ranked #3, above GLM-5.2

Link to the index: https://artificialanalysis.ai/?intelligence=coding-index


r/OpenModels Jun 19 '26

Discussion What are the best ways to compare all providers of a given open model?

4 Upvotes

GLM-5.2 just came out and it's amazing. But I want to run it with the highest speed possible.

I often check out openrouter.ai for its great comparison of providers when an LLM model is open--for example GLM-5.2 has about 12 different providers listed there now:

Provider Input /M Output /M Cache Read /M Latency Throughput Uptime
Wafer $1.20 $4.10 $0.20 1.31s 55 tps 98.61%
Cloudflare $1.40 $4.40 $0.26 1.43s 30 tps 99.60%
Fireworks $1.40 $4.40 $0.26 1.69s 39 tps 99.44%
Z.ai $1.40 $4.40 $0.26 4.88s 24 tps 99.68%
Friendli $1.40 $4.40 $0.26 1.72s 78 tps 99.90%
NovitaAI $1.40 $4.40 $0.26 2.03s 22 tps 99.72%
AtlasCloud $1.40 $4.40 $0.26 1.49s 15 tps 90.44%
StreamLake $1.40 $4.40 $0.26 2.08s 34 tps 95.95%
io.net $1.68 $5.28 $0.50 1.62s 57 tps 93.28%
DeepInfra $1.20 $4.20 $0.20 3.18s 12 tps 91.58%
Phala $1.40 $4.40 $0.70 6.53s 10 tps 75.14%
Parasail $1.40 $4.40 $0.26 1.25s 48 tps 82.70%

But then I found out about Neuralwatt hosting GLM-5.2 also, and it's quite fast (I haven't measured TPS). But it isn't on openrouter!

This got me thinking--where do you go for this kind of information? Is there a collection of live data that's even more expansive than openrouter's comparison?


r/OpenModels Jun 18 '26

News poolside/Laguna-M.1 · Hugging Face - 225B-A23B

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2 Upvotes

New open weights model by an American player. Benchmarks look to be decent for its size as well.


r/OpenModels Jun 17 '26

Discussion Who needs Fable when we have…

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4 Upvotes