MoonshotAI: Kimi K3 (batch) vs Nex AGI: Nex-N2.5-Mini: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MoonshotAI: Kimi K3 (batch) (moonshotai/kimi-k3:batch) vs Nex AGI: Nex-N2.5-Mini (nex-agi/nex-n2.5-mini). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MoonshotAI: Kimi K3 (batch) (moonshotai/kimi-k3:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K3 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $1.14/1M) or route via asynchronous Batch API for 50% off standard token rates.
Nex AGI: Nex-N2.5-Mini (nex-agi/nex-n2.5-mini) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Nex AGI: Nex-N2.5-Mini: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0125/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing MoonshotAI: Kimi K3 (batch) (API ID: moonshotai/kimi-k3:batch) vs Nex AGI: Nex-N2.5-Mini (API ID: nex-agi/nex-n2.5-mini), Nex AGI: Nex-N2.5-Mini offers lower standard input pricing at $0.025/1M tokens ($0.1/1M output), while Nex AGI: Nex-N2.5-Mini leads in cached prefix economics at $0.0125/1M tokens (50% discount). MoonshotAI: Kimi K3 (batch) 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 | MoonshotAI: Kimi K3 (batch) | Nex AGI: Nex-N2.5-Mini | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | moonshotai/kimi-k3:batch | nex-agi/nex-n2.5-mini | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.28 / $11.4 | $0.025 / $0.1 | Nex AGI: Nex-N2.5-Mini |
| Cache Read Price (per 1M) | $1.14/1M (50% Off) | $0.0125/1M (50% Off) | Nex AGI: Nex-N2.5-Mini |
| Context Window / Max Output | 1024K In / 16K Out | 256K In / 230K Out | Nex AGI: Nex-N2.5-Mini |
| P90 First-Token / Edge Latency | 280ms | 280ms | MoonshotAI: Kimi K3 (batch) (-0ms) |
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is par
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, imple
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 MoonshotAI: Kimi K3 (batch) to Nex AGI: Nex-N2.5-Mini
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, imple Verified P90 latency of 280ms.