Model Cost Profile

Mistral: Codestral 2508

Developer: mistralai

Pricing updated Mar 11, 2026

Input rank: #175Output rank: #167

Live Pricing

Input: $0.3000

Output: $0.9000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Mistral: Codestral 2508, developed by mistralai, offers an extensive context window of 256,000 tokens, making it suitable for applications requiring in-depth analysis or long-form content generation. With an input price of $0.30 per million tokens and an output price of $0.90 per million tokens, teams can effectively manage costs while leveraging the model for tasks such as document summarization, complex query answering, and creative writing. This pricing structure allows businesses to scale their usage based on project demands, optimizing budget allocation for both short-term and long-term AI initiatives.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

256,000

Tokens

Input Price / 1M

$0.3000

Prompt tokens

Output Price / 1M

$0.9000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Mistral: Codestral 2508 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.3000$0.6000$0.9000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.3000

Current Output / 1M

$0.9000

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FAQ

Common pricing and benchmark questions for Mistral: Codestral 2508.

How much does Mistral: Codestral 2508 cost per 1M input tokens?

Mistral: Codestral 2508 input pricing is $0.3000 per 1M tokens based on the latest synced provider data.

How much does Mistral: Codestral 2508 cost per 1M output tokens?

Mistral: Codestral 2508 output pricing is $0.9000 per 1M tokens based on the latest synced provider data.

What context window does Mistral: Codestral 2508 support?

Mistral: Codestral 2508 supports a context window of 256,000 tokens.

How can I compare Mistral: Codestral 2508 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.