MoonshotAI: Kimi K3.1 Pro vs DeepSeek Deepseek Coder 33B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MoonshotAI: Kimi K3.1 Pro (moonshotai/kimi-k3.1-pro) vs DeepSeek Deepseek Coder 33B Instruct (deepseek/deepseek-coder-33b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MoonshotAI: Kimi K3.1 Pro (moonshotai/kimi-k3.1-pro) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K3.1 Pro: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.2/1M) or route via asynchronous Batch API for 50% off standard token rates.
DeepSeek Deepseek Coder 33B Instruct (deepseek/deepseek-coder-33b-instruct) — Automatic Disk KV Cache (0.01/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.022/1M off-peak input tokens (vs $0.66 off-peak base) with zero code changes required, plus off-peak UTC scheduling discounts.
In Etuki October 2026 FinOps telemetry comparing MoonshotAI: Kimi K3.1 Pro (API ID: moonshotai/kimi-k3.1-pro) vs DeepSeek Deepseek Coder 33B Instruct (API ID: deepseek/deepseek-coder-33b-instruct), DeepSeek Deepseek Coder 33B Instruct offers lower standard input pricing at $0.1/1M tokens ($0.3/1M output), while DeepSeek Deepseek Coder 33B Instruct leads in cached prefix economics at $0.01/1M tokens (90% discount). MoonshotAI: Kimi K3.1 Pro achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($2/$10 per 1M, flat 1049K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.1/$0.3 per 1M, flat 64K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | MoonshotAI: Kimi K3.1 Pro | DeepSeek Deepseek Coder 33B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | moonshotai/kimi-k3.1-pro | deepseek/deepseek-coder-33b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $10 | $0.1 / $0.3 | DeepSeek Deepseek Coder 33B Instruct |
| Cache Read Price (per 1M) | $0.2/1M (90% Off) | $0.01/1M (90% Off) | DeepSeek Deepseek Coder 33B Instruct |
| Context Window / Max Output | 1049K In / 64K Out | 64K In / 64K Out | MoonshotAI: Kimi K3.1 Pro |
| P90 First-Token / Edge Latency | 195ms | 195ms | MoonshotAI: Kimi K3.1 Pro (-0ms) |
MoonshotAI: Kimi K3.1 Pro (moonshotai/kimi-k3.1-pro): OpenRouter gateway-synced model at $2/1M input, $10/1M output, $0.2/1M cached input (1049K context window).
DeepSeek Deepseek Coder 33B Instruct
API ID: deepseek/deepseek-coder-33b-instruct • OpenRouter SyncedDeepSeek Deepseek Coder 33B Instruct (deepseek/deepseek-coder-33b-instruct): OpenRouter gateway-synced model at $0.1/1M input, $0.3/1M output, $0.01/1M cached input (64K context window).
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 K3.1 Pro to DeepSeek Deepseek Coder 33B Instruct
DeepSeek Deepseek Coder 33B Instruct (deepseek/deepseek-coder-33b-instruct): OpenRouter gateway-synced model at $0.1/1M input, $0.3/1M output, $0.01/1M cached input (64K context window). Verified P90 latency of 195ms.