From the daily edition · 7 Oct 2026Models and releases
Mistral releases Large 4, a 1-trillion-parameter model, in public preview
Mistral says Large 4 has 49 billion active parameters, costs $1.36 and $4.18 per million input and output tokens in preview, and will get open weights by the end of October.
In short
- Mistral describes Large 4, published on 6 October 2026, as a natively multimodal model with 1 trillion parameters, 49 billion of them active.
- The preview API costs $1.36 per million input tokens and $4.18 per million output tokens; Mistral says it will release the weights by the end of the month.
- Until the weights are out, Mistral says it is red-teaming the model with cybersecurity leaders, vetted partners and state authorities, who use a version with reduced moderation.
Mistral AI published Mistral Large 4 on 6 October 2026. It describes a natively multimodal model with 1 trillion parameters, 49 billion of them active. The public preview runs on the company's own infrastructure, and the listed API price is $1.36 per million input tokens and $4.18 per million output tokens.
Mistral says it will release the weights by the end of the month; until then it is red-teaming the model with cybersecurity leaders, vetted partners and state authorities. The benchmark results in the post, including a rank among the top five on the Artificial Analysis Cyber Index, are Mistral's own account.
It says the model was trained on 3,800 NVIDIA Grace Blackwell GPUs in its own datacenters in Europe.
What it means for you · our view
The price, the benchmark scores and the Artificial Analysis Cyber Index ranking are Mistral's own account, and the open weights that would let others test them are a promise for the end of the month.
Mistral says it trained Large 4 and serves the preview in its own datacenters in Europe, which matters if where a model runs is part of your procurement. Treat the preview as a trial: the $1.36 and $4.18 prices are listed for the preview only.
Before you commit, ask Mistral whether those prices will hold once the weights are released, and run your own tasks on the preview.
How we checked this · the sources11 checked facts from 1 source.
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Mistral Large 4 · Mistral AI · archived copy
- Mistral AI published Mistral Large 4 on 6 October 2026. Quote: "Introducing Mistral Large 4"
checked 7 Oct 2026Introducing Mistral Large 4 Back to Blog 14 min read October 6, 2026 By Mistral
- Mistral describes Mistral Large 4 as a 1 trillion-parameter natively multimodal model with 49 billion active parameters. Quote: "ML4 is a 1 trillion-parameter natively multimodal model with 49 billion active parameters."
checked 7 Oct 2026ML4 is a 1 trillion-parameter natively multimodal model with 49 billion active parameters.
- Mistral lists the preview API price as $1.36 per million input tokens and $4.18 per million output tokens. Quote: "Input (/M tokens) $1.36 Output (/M tokens) $4.18"
checked 7 Oct 2026Input (/M tokens) $1.36 Output (/M tokens) $4.18
- Mistral says it will release the weights by the end of the month. Quote: "We will release the weights by the end of the month."
checked 7 Oct 2026We will release the weights by the end of the month.
- Until the weights are released, Mistral says it is red-teaming the model with cybersecurity leaders, vetted partners and state authorities, who access the same model with reduced moderation and expanded cyber capabilities. Quote: "we are red-teaming the model in real-world settings with cybersecurity leaders, vetted partners, and state authorities, who will access the same model with reduced moderation and expanded cyber capabilities."
checked 7 Oct 2026Until then, we are red-teaming the model in real-world settings with cybersecurity leaders, vetted partners, and state authorities, who will access the same model with reduced moderation and expanded cyber capabilities.
- Mistral says Large 4 was trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in its own datacenters in Europe, and the public preview is served on the same infrastructure. Quote: "ML4 was trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral’s own datacenters in Europe. The public preview is served on that same infrastructure."
checked 7 Oct 2026ML4 was trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral’s own datacenters in Europe. The public preview is served on that same infrastructure.
- Mistral says that on the Artificial Analysis Cyber Index Large 4 ranks among the top five models globally; this is Mistral's own account of the result. Quote: "it ranks among the top five models globally and leads open-weight models developed outside China by a wide margin."
checked 7 Oct 2026On the Artificial Analysis Cyber Index, an independent evaluation of how well AI models find and fix security flaws in real software, it ranks among the top five models globally and leads open-weight models developed outside China by a wide margin.
- Mistral reports Large 4 scores 61.7% on DeepSWE v1.1, 59.4% on SWE-Atlas-QnA and 28.3% on Terminal-Bench 4. Quote: "scoring 61.7% on DeepSWE v1.1, 59.4% on SWE-Atlas-QnA, and 28.3% on Terminal-Bench 4."
checked 7 Oct 2026ML4 excels across software engineering, repository understanding, and complex terminal workflows, scoring 61.7% on DeepSWE v1.1, 59.4% on SWE-Atlas-QnA, and 28.3% on Terminal-Bench 4.
- Mistral says that on Lakera's public B3 AI Security Benchmark Large 4 resists 93.3% of attacks. Quote: "On Lakera’s public B3 AI Security Benchmark , ML4 resists 93.3% of attacks"
checked 7 Oct 2026On Lakera’s public B3 AI Security Benchmark , ML4 resists 93.3% of attacks
- Mistral says a significant share of Large 4's training data was multilingual, spanning more than 160 languages, including every official language of the European Union. Quote: "a significant share of ML4’s training data was multilingual, spanning more than 160 languages, including every official language of the European Union."
checked 7 Oct 2026a significant share of ML4’s training data was multilingual, spanning more than 160 languages, including every official language of the European Union.
- Mistral describes Large 4 as an open-weight hybrid instruct-and-reasoning MoE with multimodal input. Quote: "Open-weight hybrid instruct-and-reasoning MoE with multimodal input"
checked 7 Oct 2026Open-weight hybrid instruct-and-reasoning MoE with multimodal input
- Mistral AI published Mistral Large 4 on 6 October 2026. Quote: "Introducing Mistral Large 4"