MiniMax: MiniMax M2.1 vs Mancer: Weaver (alpha): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MiniMax: MiniMax M2.1 (minimax/minimax-m2.1) vs Mancer: Weaver (alpha) (mancer/weaver). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MiniMax: MiniMax M2.1 (minimax/minimax-m2.1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MiniMax: MiniMax M2.1: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
Mancer: Weaver (alpha) (mancer/weaver) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mancer: Weaver (alpha): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.2/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing MiniMax: MiniMax M2.1 (API ID: minimax/minimax-m2.1) vs Mancer: Weaver (alpha) (API ID: mancer/weaver), MiniMax: MiniMax M2.1 offers lower standard input pricing at $0.3/1M tokens ($1.2/1M output), while MiniMax: MiniMax M2.1 leads in cached prefix economics at $0.15/1M tokens (50% discount). MiniMax: MiniMax M2.1 achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | MiniMax: MiniMax M2.1 | Mancer: Weaver (alpha) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | minimax/minimax-m2.1 | mancer/weaver | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.3 / $1.2 | $0.4 / $0.75 | MiniMax: MiniMax M2.1 |
| Cache Read Price (per 1M) | $0.15/1M (50% Off) | $0.2/1M (50% Off) | MiniMax: MiniMax M2.1 |
| Context Window / Max Output | 200K In / 128K Out | 8K In / 6K Out | MiniMax: MiniMax M2.1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | MiniMax: MiniMax M2.1 (-0ms) |
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated par
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from MiniMax: MiniMax M2.1 to Mancer: Weaver (alpha)
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations. Verified P90 latency of 280ms.