Qwen: Qwen3 Next 80B A3B Thinking vs Meta: Muse Spark 1.3: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3 Next 80B A3B Thinking (qwen/qwen3-next-80b-a3b-thinking) vs Meta: Muse Spark 1.3 (meta/muse-spark-1.3). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3 Next 80B A3B Thinking (qwen/qwen3-next-80b-a3b-thinking) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 Next 80B A3B Thinking: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.075/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 Qwen: Qwen3 Next 80B A3B Thinking (API ID: qwen/qwen3-next-80b-a3b-thinking) vs Meta: Muse Spark 1.3 (API ID: meta/muse-spark-1.3), Qwen: Qwen3 Next 80B A3B Thinking offers lower standard input pricing at $0.15/1M tokens ($1.2/1M output), while Qwen: Qwen3 Next 80B A3B Thinking leads in cached prefix economics at $0.075/1M tokens (50% discount). Qwen: Qwen3 Next 80B 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 Next 80B A3B Thinking | Meta: Muse Spark 1.3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3-next-80b-a3b-thinking | meta/muse-spark-1.3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $1.2 | $1.25 / $4.25 | Qwen: Qwen3 Next 80B A3B Thinking |
| Cache Read Price (per 1M) | $0.075/1M (50% Off) | $0.625/1M (50% Off) | Qwen: Qwen3 Next 80B A3B Thinking |
| Context Window / Max Output | 256K In / 230K Out | 1024K In / 922K Out | Meta: Muse Spark 1.3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3 Next 80B A3B Thinking (-0ms) |
Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems;
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 Qwen: Qwen3 Next 80B A3B Thinking 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.