MiniMax: MiniMax M2
minimax/minimax-m2
Cheapest provider
$0.26 / 1M
AtlasCloud
Fastest provider (p95)
185 tok/s
Intelligence (composite)
80.5
MMLU-Pro · HumanEval · math · GPQA
Per-provider performance
Latency / throughput / uptime measured across providers over the last 30 minutes of live traffic. Atlas’s router weighs these per call (with the eval-gate signal) when picking a variant for Standard and Batch tiers.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| AtlasCloud | q8· fp8 | $0.2550 | $1.0000 | 1723ms / 3145ms | 42 / 108 tok/s | 100.00% | 61.3% |
| Minimax | q8· fp8 | $0.2550 | $1.0200 | 1094ms / 2227ms | 59 / 123.4 tok/s | 100.00% | 100.0% |
| undisclosed | $0.3000 | $1.2000 | 426ms / 3972ms | 102.5 / 185 tok/s | — | 71.8% | |
| Novita | q8· fp8 | $0.3000 | $1.2000 | 1078ms / 1899ms | 62 / 120 tok/s | 100.00% | 95.0% |
“—” means live telemetry hasn’t accumulated enough recent traffic for that endpoint. “undisclosed” means the provider serves the model but doesn’t expose the quantization label (typically running fp8 / int8 internally).
Intelligence breakdown
Composite score is a weighted average of public benchmarks (30% MMLU-Pro, 25% code pass@1, 25% math, 20% GPQA). Numbers come from model cards and the Artificial Analysis intelligence harness; missing components are renormalised over what’s present.
MMLU-Pro
82.0
broad reasoning
Code
83.0
pass@1 (HumanEval / LiveCodeBench)
AIME 2025
78.0
math accuracy
GPQA Diamond
78.0
hard reasoning
Source: Artificial Analysis (AA-aligned) — MiniMax-M2 (MMLU-Pro 82, GPQA-D 78, LiveCodeBench 83, AIME25 78); github.com/MiniMax-AI/MiniMax-M2
How Atlas routes MiniMax: MiniMax M2
- Realtime tier — direct passthrough at the upstream’s native precision. Best for hard latency / quality guarantees.
- Standard tier — Atlas picks the cheapest provider variant whose quantization has stayed green on your operation’s eval gates. For MiniMax: MiniMax M2 that’s currently AtlasCloud at $0.26/1M.
- Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.