Context Window
128,000
Input tokens
Full-context input ≈ $0.26
Model Cost Profile
Developer: mistralai· Tokenizer: Mistral · Quantization: unknown
Canonical ID: mistralai/mistral-large
Pricing updated Apr 24, 2026
Live Pricing
Input: $2.00
Output: $6.00
Last synced Apr 24, 2026 · 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.
Context Window
128,000
Input tokens
Full-context input ≈ $0.26
Max Output
—
Not specified
Input Price / 1M
$2.00
Prompt tokens
Output Price / 1M
$6.00
Completion tokens
Top Benchmark
80.7
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for Mistral Large. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$2.00
Current Output / 1M
$6.00
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $2.00 |
| Output (Completion) | $6.00 |
| Cache Read | $0.2000 |
Estimate monthly spend for Mistral Large based on your workload.
Estimated Monthly Cost
$122
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.