Qwen: Qwen3 VL 30B A3B Thinking vs MoonshotAI: Kimi K2.5: Live Promos, Pricing, Hidden Fees & Latency
Qwen: Qwen3 VL 30B A3B Thinking (qwen/qwen3-vl-30b-a3b-thinking) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 VL 30B A3B Thinking: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.145/1M) or route via asynchronous Batch API for 50% off standard token rates.
MoonshotAI: Kimi K2.5 (moonshotai/kimi-k2.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2.5: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen3 VL 30B A3B Thinking (API ID: qwen/qwen3-vl-30b-a3b-thinking) vs MoonshotAI: Kimi K2.5 (API ID: moonshotai/kimi-k2.5), Qwen: Qwen3 VL 30B A3B Thinking offers lower standard input pricing at $0.29/1M tokens ($1/1M output), while Qwen: Qwen3 VL 30B A3B Thinking leads in cached prefix economics at $0.145/1M tokens (50% discount). Qwen: Qwen3 VL 30B A3B 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 | Qwen: Qwen3 VL 30B A3B Thinking | MoonshotAI: Kimi K2.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3-vl-30b-a3b-thinking | moonshotai/kimi-k2.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.29 / $1 | $0.5 / $2.5 | Qwen: Qwen3 VL 30B A3B Thinking |
| Cache Read Price (per 1M) | $0.145/1M (50% Off) | $0.25/1M (50% Off) | Qwen: Qwen3 VL 30B A3B Thinking |
| Context Window / Max Output | 256K In / 230K Out | 256K In / 230K Out | Qwen: Qwen3 VL 30B A3B Thinking |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3 VL 30B A3B Thinking (-0ms) |
Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued p
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 VL 30B A3B Thinking to MoonshotAI: Kimi K2.5
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued p Verified P90 latency of 280ms.