New Model Available: Mistral Large 4

Mistral AI released Mistral Large 4, its newest flagship model, as an API public preview through Mistral Studio, with open weights planned for the end of October. The model uses a granular mixture-of-experts design, accepts image input natively via a roughly 1.6 billion-parameter vision encoder, carries a context window officially listed at one million tokens, and was trained on more than 160 languages including every official EU language. 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.

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