Context Window
131,072
Input tokens
Full-context input ≈ $0.05
Model Cost Profile
Developer: mistralai· Tokenizer: Mistral · Quantization: unknown
Canonical ID: mistralai/mistral-medium-3.1
Pricing updated Apr 22, 2026
Live Pricing
Input: $0.4000
Output: $2.00
Last synced Apr 22, 2026 · MMLU score via public benchmark data
Mistral Medium 3.1, developed by mistralai, offers a substantial context window of 131,072 tokens, making it suitable for applications requiring extensive text comprehension, such as document summarization and conversational AI. With an input price of $0.40 per million tokens and an output price of $2.00 per million tokens, teams can effectively manage costs based on their usage patterns, optimizing for both budget and performance. This model is ideal for organizations that need to process large volumes of text while maintaining high-quality output in real-time applications.
Context Window
131,072
Input tokens
Full-context input ≈ $0.05
Max Output
—
Not specified
Input Price / 1M
$0.4000
Prompt tokens
Output Price / 1M
$2.00
Completion tokens
Top Benchmark
68.3
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for Mistral: Mistral Medium 3.1. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.4000
Current Output / 1M
$2.00
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.4000 |
| Output (Completion) | $2.00 |
| Cache Read | $0.0400 |
Estimate monthly spend for Mistral: Mistral Medium 3.1 based on your workload.
Estimated Monthly Cost
$34
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.