Magnum v4 72B vs MoonshotAI: Kimi K2 Thinking: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Magnum v4 72B (anthracite-org/magnum-v4-72b) vs MoonshotAI: Kimi K2 Thinking (moonshotai/kimi-k2-thinking). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Magnum v4 72B (anthracite-org/magnum-v4-72b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Magnum v4 72B: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
MoonshotAI: Kimi K2 Thinking (moonshotai/kimi-k2-thinking) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2 Thinking: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.3/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Magnum v4 72B (API ID: anthracite-org/magnum-v4-72b) vs MoonshotAI: Kimi K2 Thinking (API ID: moonshotai/kimi-k2-thinking), MoonshotAI: Kimi K2 Thinking offers lower standard input pricing at $0.6/1M tokens ($2.5/1M output), while MoonshotAI: Kimi K2 Thinking leads in cached prefix economics at $0.3/1M tokens (50% discount). Magnum v4 72B 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 | Magnum v4 72B | MoonshotAI: Kimi K2 Thinking | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | anthracite-org/magnum-v4-72b | moonshotai/kimi-k2-thinking | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.5 / $5 | $0.6 / $2.5 | MoonshotAI: Kimi K2 Thinking |
| Cache Read Price (per 1M) | $1.25/1M (50% Off) | $0.3/1M (50% Off) | MoonshotAI: Kimi K2 Thinking |
| Context Window / Max Output | 32K In / 4K Out | 256K In / 96K Out | MoonshotAI: Kimi K2 Thinking |
| P90 First-Token / Edge Latency | 280ms | 280ms | Magnum v4 72B (-0ms) |
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://o
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-
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 Magnum v4 72B to MoonshotAI: Kimi K2 Thinking
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture- Verified P90 latency of 280ms.