Qwen: Qwen3.8 Omni Flash vs MoonshotAI: Kimi K2 0905: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3.8 Omni Flash (qwen/qwen3.8-omni-flash) vs MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3.8 Omni Flash (qwen/qwen3.8-omni-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.8 Omni Flash: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.075/1M) 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 Qwen: Qwen3.8 Omni Flash (API ID: qwen/qwen3.8-omni-flash) vs MoonshotAI: Kimi K2 0905 (API ID: moonshotai/kimi-k2-0905), Qwen: Qwen3.8 Omni Flash offers lower standard input pricing at $0.15/1M tokens ($0.47/1M output), while Qwen: Qwen3.8 Omni Flash leads in cached prefix economics at $0.075/1M tokens (50% discount). Qwen: Qwen3.8 Omni Flash 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 | Qwen: Qwen3.8 Omni Flash | MoonshotAI: Kimi K2 0905 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3.8-omni-flash | moonshotai/kimi-k2-0905 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $0.47 | $0.6 / $2.5 | Qwen: Qwen3.8 Omni Flash |
| Cache Read Price (per 1M) | $0.075/1M (50% Off) | $0.3/1M (50% Off) | Qwen: Qwen3.8 Omni Flash |
| Context Window / Max Output | 977K In / 128K Out | 256K In / 96K Out | Qwen: Qwen3.8 Omni Flash |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3.8 Omni Flash (-0ms) |
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for aud
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 Qwen: Qwen3.8 Omni Flash 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.