# New Model Available: Mistral Large 4

> Source: <https://zenmux.ai/mistralai/mistral-large-4>
> Published: 2026-10-08 08:25:15+00:00

Mistral Large 4 is Mistral AI's newest flagship model. It is currently offered as an API public preview through Mistral Studio. The model uses a granular mixture-of-experts design and accepts image input natively, with a vision encoder of about 1.6 billion parameters and a context window officially listed at one million tokens. Its training data spans more than 160 languages, including every official EU language. Mistral plans to publish the open weights at the end of October, so organizations will be able to self-host, although the license terms have not been released. Independent benchmarks place its intelligence score comparable to some rival models, but its cost per task is relatively high, so users should test it on their own workloads before adopting it.

[Back to Models](https://zenmux.ai/models)

## Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

~~$1.36~~

**$0.68**

*/ M tokens*

~~$4.18~~

**$2.09**

*/ M tokens*

*Read:*

~~0.14~~

**0.07**/ M tokens

*Write:*

**-**/ M tokens256K1.23s68.0tps

## Uptime

24hours
Direct request success rate on AI Gateway and per-provider.

## Throughput

24hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

## Latency

24hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

## Activity

Token volume and request traffic to this model over time.

## Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced from[Artificial Analysis](https://artificialanalysis.ai/)

## Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. [View All](https://zenmux.ai/analytics/apps)

## Related Models

More models from [Mistral](https://zenmux.ai/mistralai)