DeepSeek: DeepSeek V4 Pro 0813 vs Meta: Muse Spark 1.3: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V4 Pro 0813 (deepseek/deepseek-v4-pro-0813) vs Meta: Muse Spark 1.3 (meta/muse-spark-1.3). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V4 Pro 0813 (deepseek/deepseek-v4-pro-0813) — Automatic Disk KV Cache ($0.33/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
Meta: Muse Spark 1.3 (meta/muse-spark-1.3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Spark 1.3: 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 Pro 0813 (API ID: deepseek/deepseek-v4-pro-0813) vs Meta: Muse Spark 1.3 (API ID: meta/muse-spark-1.3), DeepSeek: DeepSeek V4 Pro 0813 offers lower standard input pricing at $0.66/1M tokens ($1.98/1M output), while DeepSeek: DeepSeek V4 Pro 0813 leads in cached prefix economics at $0.33/1M tokens (50% discount). DeepSeek: DeepSeek V4 Pro 0813 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 Pro 0813 | Meta: Muse Spark 1.3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4-pro-0813 | meta/muse-spark-1.3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.66 / $1.98 | $1.25 / $4.25 | DeepSeek: DeepSeek V4 Pro 0813 |
| Cache Read Price (per 1M) | $0.33/1M (50% Off) | $0.625/1M (50% Off) | DeepSeek: DeepSeek V4 Pro 0813 |
| Context Window / Max Output | 1024K In / 384K Out | 1024K In / 922K Out | Meta: Muse Spark 1.3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V4 Pro 0813 (-0ms) |
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended ta
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 Pro 0813 to Meta: Muse Spark 1.3
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended ta Verified P90 latency of 280ms.