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Mistral Medium 3.5

mistral.ai

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Re: Mistral Medium 3.5

#31

Post by locknitpicker »

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.

This is a very naive and misguided opinion. In most tasks, including complex coding tasks, you can hardly tell the difference between a frontier model and something like GPT4.1. You need to really focus on areas such as context window, tool calling and specific aspects of reasoning steps to start noticing differences. To make matters worse, frontier models are taking a brute force approach to results which ends up making them far more expensive to run, both in terms of what shows up on your invoice and how much more you have to wait to get any resemblance of output.

And I won't even go into the topic or local models.

Re: Mistral Medium 3.5

#32

Post by deaux »

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…

Can't agree at all. Productivity gap just 1 year ago was much larger for frontier model vs non-frontier. Let alone 2 years ago.

Re: Mistral Medium 3.5

#33

Post by pb7 »

kubb wrote: post #23
Tepix wrote: post #20

I use Mistral Le Chat quite a bit. One thing in particular I was disappointed in was its bad explanations when asking about French grammar. It made multiple mistakes and the other models got it right, even Qwen 3.6 27b! Anyway, I'm hoping they catch up some more.

There's a good chance that they'll catch up. The "AI race" is a race to the bottom, with the leaders blowing huge wads of cash on capabilities that get replicated months later by the competition at a fraction of the cost. The only benefit of leading is mindshare. OpenAI is doubling down on that, by investing in communication companies. That's their pathetic attempt at a "moat".

They catch up by distilling frontier models. They will eventually figure out how to prevent that from happening. No one has any interest in investing tens of billions if the product can be copied and sold for less.

Re: Mistral Medium 3.5

#34

Post by locknitpicker »

pb7 wrote: post #13
mtct88 wrote: post #8

It's okay, nothing exceptional, but any news from non US and non Chinese models is still good news.

This is the bar for Europe, huh?

> This is the bar for Europe, huh?

A few months ago China was being criticized left and right on how somehow it was not able to compete, and once DeepSeek showed up then all the hatred shifted onto how China was actually competing but exploring unfair competitive advantages.

Funny how that works.

Also, aren't the likes of OpenAI burning through over $2 of investment for each $1 of revenue?

Re: Mistral Medium 3.5

#35

Post by pb7 »

locknitpicker wrote: post #34
pb7 wrote: post #13

Earlier quoted context omitted.

This is the bar for Europe, huh?

> This is the bar for Europe, huh? A few months ago China was being criticized left and right on how somehow it was not able to compete, and once DeepSeek showed up then all the hatred shifted onto how China was actually competing but exploring unfair competitive advantages. Funny how that works. Also, aren't the likes of OpenAI burning through over $2 of investment for each $1 of revenue?

[flagged]

Re: Mistral Medium 3.5

#36

Post by sagacity »

pb7 wrote: post #35
locknitpicker wrote: post #34

Earlier quoted context omitted.

> This is the bar for Europe, huh? A few months ago China was being criticized left and right on how somehow it was not able to compete, and once DeepSeek showed up then all the hatred shifted onto how China was actually competing but exploring unfair competitive advantages. Funny how that works. Also, aren't the likes of OpenAI burning through over $2 of investment for each $1 of revenue?

[flagged]

Ah yes, like those EUV machines America and China have worked on.

Re: Mistral Medium 3.5

#37

Post by deaux »

pb7 wrote: post #13
mtct88 wrote: post #8

It's okay, nothing exceptional, but any news from non US and non Chinese models is still good news.

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 pricing. I'm surprised it's so expensive given its size. Wonder if we'll see other providers offer it for cheaper.

but that doesn't mean Mistral has never produced anything useful.

Re: Mistral Medium 3.5

#38

Post by postalcoder »

locknitpicker wrote: post #31
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. This is a very naive and misguided opinion. In most tasks, including complex coding tasks, you can hardly tell the difference between a frontier model and something like GPT4.1. You need to really focus on areas such as context window, tool…

> You need to really focus on areas such as context window, tool calling and specific aspects of reasoning steps to start noticing differences.

This is like saying "the current models and the old models are the same if you ignore every important advance they've made"

Re: Mistral Medium 3.5

#40

Post by simonw »

I can't figure out if this is available in the official Mistral API or not.

Their model listing API returns this:

  {
    "id": "mistral-medium-2508",
    "object": "model",
    "created": 1777479384,
    "owned_by": "mistralai",
    "capabilities": {
      "completion_chat": true,
      "function_calling": true,
      "reasoning": false,
      "completion_fim": false,
      "fine_tuning": true,
      "vision": true,
      "ocr": false,
      "classification": false,
      "moderation": false,
      "audio": false,
      "audio_transcription": false,
      "audio_transcription_realtime": false,
      "audio_speech": false
    },
    "name": "mistral-medium-2508",
    "description": "Update on Mistral Medium 3 with improved capabilities.",
    "max_context_length": 131072,
    "aliases": [
      "mistral-medium-latest",
      "mistral-medium",
      "mistral-vibe-cli-with-tools"
    ],
    "deprecation": null,
    "deprecation_replacement_model": null,
    "default_model_temperature": 0.3,
    "type": "base"
  },
So that has the alias "mistral-medium-latest", but the official ID is "mistral-medium-2508" which suggests it's the model they released in August 2025.

But... that 1777479384 timestamp decodes to Wednesday, April 29, 2026 at 04:16:24 PM UTC

So is that the new Mistral Medium?

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