MoonshotAI: Kimi K2 Thinking vs Reflection: Beam 1.0 501B A23B: Live Promos, Pricing, Hidden Fees & Latency
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.
Reflection: Beam 1.0 501B A23B (reflection/beam-1.0-501b-a23b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Reflection: Beam 1.0 501B A23B: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing MoonshotAI: Kimi K2 Thinking (API ID: moonshotai/kimi-k2-thinking) vs Reflection: Beam 1.0 501B A23B (API ID: reflection/beam-1.0-501b-a23b), Reflection: Beam 1.0 501B A23B offers lower standard input pricing at $0.3/1M tokens ($1/1M output), while Reflection: Beam 1.0 501B A23B leads in cached prefix economics at $0.15/1M tokens (50% discount). MoonshotAI: Kimi K2 Thinking 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 K2 Thinking | Reflection: Beam 1.0 501B A23B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | moonshotai/kimi-k2-thinking | reflection/beam-1.0-501b-a23b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.6 / $2.5 | $0.3 / $1 | Reflection: Beam 1.0 501B A23B |
| Cache Read Price (per 1M) | $0.3/1M (50% Off) | $0.15/1M (50% Off) | Reflection: Beam 1.0 501B A23B |
| Context Window / Max Output | 256K In / 96K Out | 1024K In / 922K Out | Reflection: Beam 1.0 501B A23B |
| P90 First-Token / Edge Latency | 280ms | 280ms | MoonshotAI: Kimi K2 Thinking (-0ms) |
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-
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active
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 K2 Thinking to Reflection: Beam 1.0 501B A23B
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active Verified P90 latency of 280ms.