AionLabs: Aion-2.0 vs MoonshotAI: Kimi K3 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing AionLabs: Aion-2.0 (aion-labs/aion-2.0) vs MoonshotAI: Kimi K3 (batch) (moonshotai/kimi-k3:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
AionLabs: Aion-2.0 (aion-labs/aion-2.0) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for AionLabs: Aion-2.0: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.4/1M) or route via asynchronous Batch API for 50% off standard token rates.
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.
In Etuki October 2026 FinOps telemetry comparing AionLabs: Aion-2.0 (API ID: aion-labs/aion-2.0) vs MoonshotAI: Kimi K3 (batch) (API ID: moonshotai/kimi-k3:batch), AionLabs: Aion-2.0 offers lower standard input pricing at $0.8/1M tokens ($1.6/1M output), while AionLabs: Aion-2.0 leads in cached prefix economics at $0.4/1M tokens (50% discount). AionLabs: Aion-2.0 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 | AionLabs: Aion-2.0 | MoonshotAI: Kimi K3 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | aion-labs/aion-2.0 | moonshotai/kimi-k3:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.8 / $1.6 | $2.28 / $11.4 | AionLabs: Aion-2.0 |
| Cache Read Price (per 1M) | $0.4/1M (50% Off) | $1.14/1M (50% Off) | AionLabs: Aion-2.0 |
| Context Window / Max Output | 128K In / 32K Out | 1024K In / 16K Out | AionLabs: Aion-2.0 |
| P90 First-Token / Edge Latency | 280ms | 280ms | AionLabs: Aion-2.0 (-0ms) |
Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, ma
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
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 AionLabs: Aion-2.0 to MoonshotAI: Kimi K3 (batch)
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 Verified P90 latency of 280ms.