DeepSeek: DeepSeek V4.1 Flash (batch) vs Meta: Muse Spark Open: Live Promos, Pricing, Hidden Fees & Latency
DeepSeek: DeepSeek V4.1 Flash (batch) (deepseek/deepseek-v4.1-flash:batch) — Automatic Disk KV Cache (0.005/1M) & 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.
Meta: Muse Spark Open (meta/muse-spark-open) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Spark Open: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.625/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V4.1 Flash (batch) (API ID: deepseek/deepseek-v4.1-flash:batch) vs Meta: Muse Spark Open (API ID: meta/muse-spark-open), DeepSeek: DeepSeek V4.1 Flash (batch) offers lower standard input pricing at $0.05/1M tokens ($0.15/1M output), while DeepSeek: DeepSeek V4.1 Flash (batch) leads in cached prefix economics at $0.005/1M tokens (50% discount). DeepSeek: DeepSeek V4.1 Flash (batch) 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 | DeepSeek: DeepSeek V4.1 Flash (batch) | Meta: Muse Spark Open | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4.1-flash:batch | meta/muse-spark-open | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.15 | $1.25 / $4.25 | DeepSeek: DeepSeek V4.1 Flash (batch) |
| Cache Read Price (per 1M) | $0.005/1M (50% Off) | $0.625/1M (50% Off) | DeepSeek: DeepSeek V4.1 Flash (batch) |
| Context Window / Max Output | 1024K In / 375K Out | 1024K In / 922K Out | Meta: Muse Spark Open |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V4.1 Flash (batch) (-0ms) |
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters o
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and de
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 DeepSeek: DeepSeek V4.1 Flash (batch) to Meta: Muse Spark Open
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and de Verified P90 latency of 280ms.