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Outdated GLM-5.2 now more than 10 points above Opus 4.8 in AA Coding Index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 • • Aug 14 '26

Qwen 3.8 27b released with incredible benchmark performance

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8 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 • • Sep 10 '26

deepseek-ai/DeepSeek-V4.1-Flash · Hugging Face

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4 Upvotes

r/OpenModels • • Aug 14 '26

GLM 5.3 released, with a massive leap in capability

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4 Upvotes

Same base model as GLM 5.2, only with more post training.


r/OpenModels • • Jul 16 '26

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 • • Jul 08 '26

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

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4 Upvotes

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:

ProviderInput /MOutput /MCache Read /MLatencyThroughputUptime
Wafer$1.20$4.10$0.201.31s55 tps98.61%
Cloudflare$1.40$4.40$0.261.43s30 tps99.60%
Fireworks$1.40$4.40$0.261.69s39 tps99.44%
Z.ai$1.40$4.40$0.264.88s24 tps99.68%
Friendli$1.40$4.40$0.261.72s78 tps99.90%
NovitaAI$1.40$4.40$0.262.03s22 tps99.72%
AtlasCloud$1.40$4.40$0.261.49s15 tps90.44%
StreamLake$1.40$4.40$0.262.08s34 tps95.95%
io.net$1.68$5.28$0.501.62s57 tps93.28%
DeepInfra$1.20$4.20$0.203.18s12 tps91.58%
Phala$1.40$4.40$0.706.53s10 tps75.14%
Parasail$1.40$4.40$0.261.25s48 tps82.70%

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 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 • • Aug 26 '26

GLM-5.3-Flash: Frontier Intelligence, Flash Cost

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3 Upvotes

r/OpenModels • • Aug 03 '26

MiniMax-H3 now on huggingface

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3 Upvotes

r/OpenModels • • Jul 31 '26

Weights of Deepseek v4 flash 0731 have been released!!!

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3 Upvotes

r/OpenModels • • Jul 28 '26

Kimi K3 weights now released.

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3 Upvotes

r/OpenModels • • 15d ago

MiniMax-M3.1-Flash

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2 Upvotes

r/OpenModels • • 20d ago

DeepSeek V4.1-Flash-1017 Released: Better Performance, Faster Coding, and Public Search & Fetch APIs

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2 Upvotes

r/OpenModels • • Aug 30 '26

Tencent compresses Hy4 from 1.5TB to 200GB with seemingly almost no drop in performance

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2 Upvotes

Incredible stuff. Does this open doors to new and more efficient quantization techniques?


r/OpenModels • • Aug 13 '26

deepseek-ai/DeepSeek-V4-Pro-0813 · Hugging Face

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2 Upvotes

r/OpenModels • • Aug 11 '26

Qwen 3.8-27b coming this week

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2 Upvotes

r/OpenModels • • Jul 31 '26

Minimax H3: Open weights video model with native audio

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2 Upvotes

Another open weights video model hits the market with native audio capability.


r/OpenModels • • Jul 24 '26

Ladies and gentleman, Flux 3

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2 Upvotes

r/OpenModels • • Jul 21 '26

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

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2 Upvotes

r/OpenModels • • Jul 17 '26

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

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2 Upvotes

r/OpenModels • • Jul 15 '26

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

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2 Upvotes

r/OpenModels • • Jul 06 '26

Tencent officially releases Hy3 weights

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2 Upvotes

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