Context Window
32,768
Input tokens
Full-context input ≈ $0.02
Model Cost Profile
Developer: mistralai· Tokenizer: Mistral · Instruct: mistral · Quantization: fp8
Canonical ID: mistralai/mixtral-8x7b-instruct
Pricing updated Apr 24, 2026
Live Pricing
Input: $0.5400
Output: $0.5400
Last synced Apr 24, 2026 · MMLU score via public benchmark data
Mistral: Mixtral 8x7B Instruct, developed by mistralai, offers a substantial context window of 32,768 tokens, making it ideal for applications requiring extensive text comprehension, such as legal document analysis or long-form content generation. With an input and output pricing structure of $0.54 per million tokens, teams can efficiently manage costs while leveraging the model for tasks like customer support automation and personalized content creation. This model's capabilities enable businesses to enhance their AI-driven solutions without incurring prohibitive expenses, allowing for scalable integration across various sectors.
Context Window
32,768
Input tokens
Full-context input ≈ $0.02
Max Output
16,384
Completion tokens
Input Price / 1M
$0.5400
Prompt tokens
Output Price / 1M
$0.5400
Completion tokens
Top Benchmark
38.7
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for Mistral: Mixtral 8x7B Instruct. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.5400
Current Output / 1M
$0.5400
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.5400 |
| Output (Completion) | $0.5400 |
Estimate monthly spend for Mistral: Mixtral 8x7B Instruct based on your workload.
Estimated Monthly Cost
$20
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.