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Mistral Medium 3.5

mistral.ai

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Re: Mistral Medium 3.5

#51

Post by argsnd »

deaux wrote: post #37
pb7 wrote: post #13

Earlier quoted context omitted.

This is the bar for Europe, huh?

Where are the competitive models from Singapore, Japan, Taiwan, Korea, Russia, Canada, India, the UK? From anywhere that isn't China or the US? There are none. Mistral Small 4 is pareto-competitive in its pricing bracket at $0.15/$0.60, at worst it's second to Gemma 4 26B A4B. The above countries have never had a model that is even close to being so. This particular Mistral Medium looks to be uncompetitive at that pr…

DeepMind, which is headquartered in London, probably had a significant role in the development of the Gemini and Gemma models.

Yes, it might be a problem that the UK allows companies like this to be bought up by foreign countries.

Re: Mistral Medium 3.5

#52

Post by simjnd »

I'm not sure what people are on in the comments. It doesn't beat the other models, but it sure competes despite its size.

GLM 5.1 is an excellent model, but even at Q4 you're looking at ~400GB. Kimi K2.5 is really good too, and at Q4 quantization you're looking at almost ~600GB.

This model? You can run it at Q4 with 70GB of VRAM. This is approaching consumer level territory (you can get a Mac Studio with 128GB of RAM for ~3500 USD).

For the Claude-pilled people, I don't know if you only run Opus but when I was on the Pro plan Sonnet was already extremely capable. This beats the latest Sonnet while running locally, without anyone charging you extra for having HERMES.md in your repo, or locking you out of your account on a whim.

Mistral has never been competitive at the frontier, but maybe that is not what we need from them. Having Pareto models that get you 80% of the frontier at 20% of the cost/size sounds really good to me.

Re: Mistral Medium 3.5

#53

Post by postalcoder »

onlyrealcuzzo wrote: post #29
postalcoder wrote: post #18

This release Mistral really reminds you of the gap between the frontier labs and everyone else. Pre-agent, there wasn't always an obvious difference between models. Various models had their charms. Nowadays, I don't want to entertain anything less than the frontier models. The difference in capability is enormous and choosing anything less has a real cost in terms of productivity. I've been a big fan of the smaller l…

> Pre-agent, there wasn't always an obvious difference between models. Various models had their charms. Nowadays, I don't want to entertain anything less than the frontier models. The difference in capability is enormous and choosing anything less has a real cost in terms of productivity. It's just apples to oranges. There is not a clear, across the board, winner on non-agentic tasks between Gemini, ChatGPT, and Clau…

I think there's a fair amount of evidence that the heavy harnesses actually drag down performance compared to bare harnesses.

Re: Mistral Medium 3.5

#54

Post by amunozo »

mark_l_watson wrote: post #28

I like the idea of Mistral, but the last time I evaluated Mistral Vibe it was really nice for $15/month but not as effective as Gemini Plus with AntiGravity and gemini-cli. I am currently running Gemini Ultra on a 3 month 'special deal' and AntiGravity with Opus 4.7 tokens is pretty much fantastic. That said, when I stop spending money on Gemini Ultra, I will give Mistral Vibe another 1-month test. I like the entire…

I'm testing it right now and it seems very buggy and unstable, just like before.

Re: Mistral Medium 3.5

#55

Post by sev_verso »

Giorgi wrote: post #50

Oh they are still a thing?! Completely forgot about Mistral. I am assuming they are still burning trough investor money.

What's better than Voxtral for locally processed voice input? More competition is always better.

Re: Mistral Medium 3.5

#56

Post by class4behavior »

deaux wrote: post #37
pb7 wrote: post #13

Earlier quoted context omitted.

This is the bar for Europe, huh?

Where are the competitive models from Singapore, Japan, Taiwan, Korea, Russia, Canada, India, the UK? From anywhere that isn't China or the US? There are none. Mistral Small 4 is pareto-competitive in its pricing bracket at $0.15/$0.60, at worst it's second to Gemma 4 26B A4B. The above countries have never had a model that is even close to being so. This particular Mistral Medium looks to be uncompetitive at that pr…

Although the Manus decision might change things for AI, Singapore-washing is quite rampant among Chinese companies, so I wouldn't call this place of origin an alternative market.

Re: Mistral Medium 3.5

#57

Post by philipbjorge »

onlyrealcuzzo wrote: post #29
postalcoder wrote: post #18

This release Mistral really reminds you of the gap between the frontier labs and everyone else. Pre-agent, there wasn't always an obvious difference between models. Various models had their charms. Nowadays, I don't want to entertain anything less than the frontier models. The difference in capability is enormous and choosing anything less has a real cost in terms of productivity. I've been a big fan of the smaller l…

> Pre-agent, there wasn't always an obvious difference between models. Various models had their charms. Nowadays, I don't want to entertain anything less than the frontier models. The difference in capability is enormous and choosing anything less has a real cost in terms of productivity. It's just apples to oranges. There is not a clear, across the board, winner on non-agentic tasks between Gemini, ChatGPT, and Clau…

I’ve been comparing Claude Code and Codex extensively side by side over the past couple of weeks with my favorite prompting framework superpowers…

From my perspective, Claude Code is decidedly not better than Codex. They’re slightly different and work better together. I would have no issues dropping CC entirely and using codex 100%.

If you’re working off of “defaults”, in other words no custom prompting, Claude Code does perform a lot better out of the box. I think this matters, but if you’re a professional software developer, I’d make the case that you should be owning your tools and moving beyond the baked in prompts.

Re: Mistral Medium 3.5

#59

Post by redrove »

simjnd wrote: post #52

I'm not sure what people are on in the comments. It doesn't beat the other models, but it sure competes despite its size. GLM 5.1 is an excellent model, but even at Q4 you're looking at ~400GB. Kimi K2.5 is really good too, and at Q4 quantization you're looking at almost ~600GB. This model? You can run it at Q4 with 70GB of VRAM. This is approaching consumer level territory (you can get a Mac Studio with 128GB of RAM…

It’s 128b dense model. Good luck getting more than 3t/s out of a mac. It doesn’t matter if it fits or not.

Re: Mistral Medium 3.5

#60

Post by johndough »

deaux wrote: post #37
pb7 wrote: post #13

Earlier quoted context omitted.

This is the bar for Europe, huh?

Where are the competitive models from Singapore, Japan, Taiwan, Korea, Russia, Canada, India, the UK? From anywhere that isn't China or the US? There are none. Mistral Small 4 is pareto-competitive in its pricing bracket at $0.15/$0.60, at worst it's second to Gemma 4 26B A4B. The above countries have never had a model that is even close to being so. This particular Mistral Medium looks to be uncompetitive at that pr…

> Korea

EXAONE from LG AI Research https://huggingface.co/LGAI-EXAONE

They had one of the best small models a few months ago and they released a new model just last week.

There's also HyperCLOVA X (haven't tested it, but maybe it is also good) https://huggingface.co/naver-hyperclovax

> India

India has the Sarvam model series, which admittedly are not SotA, but they have pretty good voice capabilities https://huggingface.co/sarvamai

The UAE (not part of the list above) also has a few noteworthy models: https://huggingface.co/tiiuae

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