Mistral Large 4
Mistral's 1T parameter open weight frontier model
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This is 1 of 143 launches in large language models — see how it stacks up on momentum and crowding →
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Details
- External ID
- 1271752
- Source
- PH
- Company
- —
- Product
- Mistral Large 4
- Website domain
- producthunt.com
- Launched
- Oct. 7, 2026
- Cohort
- —
- Upvotes
- 183
- Upvotes percentile
- 1.00
- Tags
- Open Source, Developer Tools, Artificial Intelligence
Description
Mistral Large 4 (aka Le Chonk) is Mistral's largest model yet: a natively multimodal mixture of experts model with 1T total and 49B active parameters and a 1M token context window. Mistral says it is the strongest open weight model from the US or Europe, and it ranks top 5 on the Artificial Analysis Cyber Index. It was trained in Mistral's own European datacenters. The preview API is live today on Mistral Studio, with open weights due by the end of October.
Enrichment
- Niche
- large language models
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- open weight frontier llm for developers
- Manually corrected
- False
Could you build this?
No Mistral Large 4 is a frontier 1-trillion parameter mixture-of-experts model requiring tens of millions of dollars in compute, massive GPU clusters, and cutting-edge deep learning research.
What it would actually take: Training a 1T-parameter multimodal MoE model requires orchestrating tens of thousands of GPUs (e.g., H100/B200 clusters) over months with custom 3D parallelism (Megatron-LM, DeepSpeed, or custom frameworks). The hard parts include collecting and filtering tens of trillions of multimodal tokens, managing checkpoint stability against constant hardware failures, and designing MoE routing algorithms. It requires a world-class AI research organization and tens of millions of dollars in capital.
Competitors
Other products that read as similar to this one — 33 launches clear the similarity bar, closest 8 shown.
Attention rank: #2 of 34 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 333 days after the earliest competitor.
- Moonshine Open-Weights STT models · hn · 2026-02-24 · 316 upvotes · similarity 0.47
- Google Gemma 4 · ph · 2026-04-03 · 439 upvotes · similarity 0.42
- Wally by RunAnywhere: The fastest inference for open frontier models · yc · 2026-09-29 · 12 upvotes · similarity 0.38
- jev-bench · ph · 2026-09-28 · 2 upvotes · similarity 0.37
- OpenArb —Open-Weight Arbitrage Audit Kit · ph · 2026-10-06 · 1 upvotes · similarity 0.36
- OLMo-core 3 · ph · 2026-10-03 · 1 upvotes · similarity 0.36
- DeepSeek-V4 · ph · 2026-04-24 · 393 upvotes · similarity 0.35
- ChonkLM · hn · 2026-05-09 · 6 upvotes · similarity 0.34
Other launches for this product
- No other launches for this product.