Mistral: Mistral Large 3 2512 vs Meta: Muse Spark 1.3: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Large 3 2512 (mistralai/mistral-large-2512) vs Meta: Muse Spark 1.3 (meta/muse-spark-1.3). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Large 3 2512 (mistralai/mistral-large-2512) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Large 3 2512: 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.
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 Mistral: Mistral Large 3 2512 (API ID: mistralai/mistral-large-2512) vs Meta: Muse Spark 1.3 (API ID: meta/muse-spark-1.3), Mistral: Mistral Large 3 2512 offers lower standard input pricing at $0.5/1M tokens ($1.5/1M output), while Mistral: Mistral Large 3 2512 leads in cached prefix economics at $0.25/1M tokens (50% discount). Mistral: Mistral Large 3 2512 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 | Mistral: Mistral Large 3 2512 | Meta: Muse Spark 1.3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-large-2512 | meta/muse-spark-1.3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $1.5 | $1.25 / $4.25 | Mistral: Mistral Large 3 2512 |
| Cache Read Price (per 1M) | $0.25/1M (50% Off) | $0.625/1M (50% Off) | Mistral: Mistral Large 3 2512 |
| Context Window / Max Output | 256K In / 205K Out | 1024K In / 922K Out | Meta: Muse Spark 1.3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Large 3 2512 (-0ms) |
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apa
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 Mistral: Mistral Large 3 2512 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.