MiniMax-M2.5
AI model by MiniMax. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. MiniMax-M2.5 is a budget-tier option from MiniMax at $1.20/M output tokens. Despite the low price, it scores competitively on measurable benchmarks — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, MiniMax-M2.5 reports 94 tok/s output speed and 1660ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, MiniMax-M2.5 costs $0.42 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
MiniMax-M2.5Current | $0.30 | $1.20 | 94 tok/s |
| GPT-5.6 Luna (low) | $0.20 | $1.20 | 138 tok/s |
| Solar Pro 4 | $0.30 | $1.20 | 47 tok/s |
| Qwen3 Next 80B A3B Instruct | $0.15 | $1.20 | 183 tok/s |
| GPT-5.6 Luna (max) | $0.20 | $1.20 | 159 tok/s |
| GPT-5.6 Luna (medium) | $0.20 | $1.20 | 144 tok/s |