Context Window
131,072
Input tokens
Full-context input ≈ $0.26
Model Cost Profile
Developer: mistralai· Tokenizer: Mistral · Quantization: unknown
Canonical ID: mistralai/mistral-large-2407
Pricing updated Apr 23, 2026
Live Pricing
Input: $2.00
Output: $6.00
Last synced Apr 23, 2026 · MMLU score via public benchmark data
Mistral Large 2407, developed by mistralai, offers an extensive context window of 131,072 tokens, making it ideal for applications requiring deep contextual understanding such as long-form content generation and complex data analysis. Teams leveraging this API model can expect an input cost of $2.00 per million tokens and an output cost of $6.00 per million tokens, which can significantly impact budget planning for high-volume projects. This model is particularly suited for enterprises focused on large-scale natural language processing tasks, where maintaining context over extensive interactions is critical.
Context Window
131,072
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
68.3
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for Mistral Large 2407. 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 2407 based on your workload.
Estimated Monthly Cost
$122
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.