Mistral Large 4

Philpax 1677 points 1002 comments October 06, 2026
mistral.ai · View on Hacker News

https://docs.mistral.ai/models/mistral-large-4-0

Discussion Highlights (20 comments)

crimsoneer

Woah, this seems like a big deal (assuming the benchmarks are as good as claimed)? Mistral slightly proving me wrong (and I'm not mad).

cbg0

Claims to be on par with GLM 5.3 in DeepSWE (from https://thenextweb.com/news/mistral-releases-large-4-a-1-tri... )

Narciss

Le Chaton Fat is here!

Philpax

https://venturebeat.com/technology/mistral-debuts-large-4-le...

imjonse

The blog post https://mistral.ai/news/mistral-large-4/

staticman2

Since the Chinese companies publish their research it would have been odd if Mistral didn't start catching up.

aeneas_ory

Benchmarks are better than expected! And probably got there without distillation ;)

mcbuilder

Looks like they are doing 50% off to stay price competitive with DS Flash V4.1

prodigycorp

Impressive vision benchmarking. If the vision model is truly as good as astra, that would make it best in the world. Also strong on cyber benchmarks (better than all chinese models), so this is a good defender model. Lots of people shitting of Mistral for no reason imo. These are pretty good numbers across the board. Definitely good enough to use as a daily driver over other llms, if you have moral qualms with the others. For certain use cases, like cyber security, this may be the go to model. I like to make fun of europe, but there's lots for mistral to be proud about in this release imo.

tdubey

Is there consensus on if this was https://openrouter.ai/stealth/space-bunny-alpha ?

scrubmunch

wowza le models a heckin chonker

nsbk

Nice! Once they make it available through their API I will be happy to support them. My local Qwen3.8 27B is serving me well, but I miss the speed and concurrency that comes with subscriptions, and I am not currently paying for any. Tais-toi et prends mon argent!

4rtem

Previous one is barely in top 50 on arena.ai

maxdo

Not bad only two major releases behind top tier. Edit : checked its rather 3 generations behind . Oh well

Roark66

This sure is nice, but I've had less than satisfactory results with GLM5.3. I'd like Mistral to compete with Qwen3.8-Flash-Next a 120B class model that IMO is the first model that I can use for serious coding while running it locally. I estimate it's coding ability on par with opus 4.6 (but opus definitely beats it on factual knowledge) Still it's a genuinely useful model, when everything else except Anthropic's models (and for only 3 weeks after it came out Google's Gemini 3 pro, before it got merged) are not to me. I'd live to have one like that but EU made.

saberience

Looks like it's about a year behind still. i.e. its intelligence is behind models from roughly a year ago. https://www.vals.ai/benchmarks/vals_index

eigenspace

Its quite interesting to see that at least the early days of AI so far have not been a winner-take-all runaway acceleration game where catchup is impossible. I certainly wouldnt have predicted that 10 years ago. Very glad to see Mistral still in the game even after some big stumbles with Large 3. I deeply hope that this model is 'good enough' that it becomes the European go-to, giving them the resources to keep the pace up. I'm excited to try this out today.

apexalpha

Excited to hear this! I barely use anything outside of cheap Chinese models on OpenRouter anymore. They are simply (more than) good enough for most of the things I do. This model looks reasonably cheap. Though not deepseek levels. Going to test it with Hermes, wondering where it will land in term of capability. Bon chance, Mistral!

jakozaur

A strong competitor in cybersecurity as an alternative to GLM-5.3 (Mistral reports 82% on CyberGym-E2E). Visual grounding is also impressive (42% on Dense 200 vs. 41% for GPT-6 Astra). Otherwise, behind on the broader Pareto frontier, but not by much (Vals Index: 48.05% vs. GLM-5.3’s 53.51%; $13.78 vs. $7.25 per test). Many companies will prefer it over Chinease models.

spwa4

Don't believe Mistral. They're wrong. It's really called "Le chaton fat". Also 1T-A49B. Weights currently closed but promise to open source them by the end of the month. Great release movie.

Semantic search powered by Rivestack pgvector
8,687 stories · 81,484 chunks indexed