Model Cost Profile

Mistral: Mistral Large 3 2512

Developer: mistralai

Pricing updated Mar 11, 2026

Input rank: #206Output rank: #200

Live Pricing

Input: $0.5000

Output: $1.50

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Mistral Large 3 2512, developed by mistralai, offers an extensive context window of 262,144 tokens, making it ideal for applications requiring deep contextual understanding, such as long-form content generation and complex conversational AI. With an input price of $0.50 per million tokens and an output price of $1.50 per million tokens, teams can effectively manage costs while leveraging the model for high-volume data processing and analysis tasks. This pricing structure allows organizations to scale their usage based on specific project needs, optimizing budget allocation for AI-driven initiatives.

๐Ÿ‘ Vision๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

262,144

Tokens

Input Price / 1M

$0.5000

Prompt tokens

Output Price / 1M

$1.50

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Mistral: Mistral Large 3 2512 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.5000$1.00$1.50Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.5000

Current Output / 1M

$1.50

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FAQ

Common pricing and benchmark questions for Mistral: Mistral Large 3 2512.

How much does Mistral: Mistral Large 3 2512 cost per 1M input tokens?

Mistral: Mistral Large 3 2512 input pricing is $0.5000 per 1M tokens based on the latest synced provider data.

How much does Mistral: Mistral Large 3 2512 cost per 1M output tokens?

Mistral: Mistral Large 3 2512 output pricing is $1.50 per 1M tokens based on the latest synced provider data.

What context window does Mistral: Mistral Large 3 2512 support?

Mistral: Mistral Large 3 2512 supports a context window of 262,144 tokens.

How can I compare Mistral: Mistral Large 3 2512 with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.