Context Window
196,608
Input tokens
Full-context input ≈ $0.06
Model Cost Profile
Developer: minimax· Tokenizer: Other · Quantization: unknown
Canonical ID: minimax/minimax-m2.7-20260318
Pricing updated May 3, 2026
Live Pricing
Input: $0.3000
Output: $1.20
Last synced May 3, 2026 · MMLU score via public benchmark data
MiniMax M2.7, developed by minimax, features an extensive context window of 204800 tokens, making it suitable for complex applications such as legal document analysis and large-scale data processing. With an input price of $0.30 per 1M tokens and an output price of $1.20 per 1M tokens, teams can effectively manage costs while leveraging its capabilities for projects requiring high-volume text generation and comprehension. This model is ideal for organizations needing to process large datasets or generate detailed reports efficiently, ensuring a balance between performance and budget.
Context Window
196,608
Input tokens
Full-context input ≈ $0.06
Max Output
—
Not specified
Input Price / 1M
$0.3000
Prompt tokens
Output Price / 1M
$1.20
Completion tokens
Top Benchmark
87.5
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for MiniMax: MiniMax M2.7. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.3000
Current Output / 1M
$1.20
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
96.1%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.3000 |
| Output (Completion) | $1.20 |
| Cache Read | $0.0590 |
Estimate monthly spend for MiniMax: MiniMax M2.7 based on your workload.
Estimated Monthly Cost
$22
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.