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Mistral: Mistral Large 4Active

mistralai/mistral-large-4
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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.

By:MistralInput Type:Output Type:Publish time:2026-10-08

Providers

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ProviderCache Hit RateContext
Mistral
mistral
31.3%$1.36/ M tokens$4.18/ M tokensRead:0.14/ M tokensWrite:-/ M tokens256K1.33s62.6tps

Uptime

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

Oct 26, 10:14
Mistral100.00%

Throughput

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

Oct 26, 10:00
Mistral62.6 tps

Latency

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

Oct 26, 10:00
Mistral1.33s

Activity

Token volume and request traffic to this model over time.

Token Consumption
Oct 25
Mistral17.3K

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

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

Metrics sourced fromArtificial Analysis

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

Token Ranking

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