Elorian: Glimpse vs MoonshotAI: Kimi K2 0905: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Elorian: Glimpse (elorian/glimpse) vs MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Elorian: Glimpse (elorian/glimpse) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Elorian: Glimpse: 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.
MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2 0905: 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 Elorian: Glimpse (API ID: elorian/glimpse) vs MoonshotAI: Kimi K2 0905 (API ID: moonshotai/kimi-k2-0905), Elorian: Glimpse offers lower standard input pricing at $0.6/1M tokens ($3/1M output), while Elorian: Glimpse leads in cached prefix economics at $0.3/1M tokens (50% discount). Elorian: Glimpse 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 | Elorian: Glimpse | MoonshotAI: Kimi K2 0905 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | elorian/glimpse | moonshotai/kimi-k2-0905 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.6 / $3 | $0.6 / $2.5 | Elorian: Glimpse |
| Cache Read Price (per 1M) | $0.3/1M (50% Off) | $0.3/1M (50% Off) | Elorian: Glimpse |
| Context Window / Max Output | 256K In / 250K Out | 256K In / 96K Out | Elorian: Glimpse |
| P90 First-Token / Edge Latency | 280ms | 280ms | Elorian: Glimpse (-0ms) |
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trilli
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 Elorian: Glimpse to MoonshotAI: Kimi K2 0905
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trilli Verified P90 latency of 280ms.