MoonshotAI: Kimi K2 0711 vs OpenAI: GPT-4.1 Nano: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MoonshotAI: Kimi K2 0711 (moonshotai/kimi-k2) vs OpenAI: GPT-4.1 Nano (openai/gpt-4.1-nano). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MoonshotAI: Kimi K2 0711 (moonshotai/kimi-k2) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2 0711: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.285/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: GPT-4.1 Nano (openai/gpt-4.1-nano) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing MoonshotAI: Kimi K2 0711 (API ID: moonshotai/kimi-k2) vs OpenAI: GPT-4.1 Nano (API ID: openai/gpt-4.1-nano), OpenAI: GPT-4.1 Nano offers lower standard input pricing at $0.1/1M tokens ($0.4/1M output), while OpenAI: GPT-4.1 Nano leads in cached prefix economics at $0.05/1M tokens (50% discount). MoonshotAI: Kimi K2 0711 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 0711 | OpenAI: GPT-4.1 Nano | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | moonshotai/kimi-k2 | openai/gpt-4.1-nano | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.57 / $2.3 | $0.1 / $0.4 | OpenAI: GPT-4.1 Nano |
| Cache Read Price (per 1M) | $0.285/1M (50% Off) | $0.05/1M (50% Off) | OpenAI: GPT-4.1 Nano |
| Context Window / Max Output | 128K In / 96K Out | 1023K In / 32K Out | MoonshotAI: Kimi K2 0711 |
| P90 First-Token / Edge Latency | 280ms | 280ms | MoonshotAI: Kimi K2 0711 (-0ms) |
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. I
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
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 0711 to OpenAI: GPT-4.1 Nano
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million... Verified P90 latency of 280ms.