Model Cost Profile

Mistral Large

Developer: mistralai

Pricing updated Mar 11, 2026

Input rank: #277Output rank: #261

Live Pricing

Input: $2.00

Output: $6.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data

Mistral Large, developed by mistralai, offers a substantial context window of 128,000 tokens, making it ideal for applications requiring extensive text analysis or long-form content generation. With an input price of $2.00 per million tokens and an output price of $6.00 per million tokens, teams can effectively budget for projects involving large datasets or complex conversational AI. This model is particularly useful for industries such as legal, healthcare, and education, where detailed context and nuanced understanding are critical for accurate outcomes.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

128,000

Tokens

Input Price / 1M

$2.00

Prompt tokens

Output Price / 1M

$6.00

Completion tokens

Intelligence (MMLU)

80.7

Massive Multitask Language Understanding

Benchmark Scores

Standardized evaluation scores for Mistral Large.

BenchmarkScoreRankSource
GPQA68.0#48 of 118artificial_analysis
MMLU80.7#38 of 121artificial_analysis

Price History

Mistral Large Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$2.00$4.00$6.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$2.00

Current Output / 1M

$6.00

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Mistral Large.

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

Mistral Large input pricing is $2.00 per 1M tokens based on the latest synced provider data.

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

Mistral Large output pricing is $6.00 per 1M tokens based on the latest synced provider data.

What context window does Mistral Large support?

Mistral Large supports a context window of 128,000 tokens.

How can I compare Mistral Large 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.