Mistral Large 2407 vs Magnum v4 72B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral Large 2407 (mistralai/mistral-large-2407) vs Magnum v4 72B (anthracite-org/magnum-v4-72b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral Large 2407 (mistralai/mistral-large-2407) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral Large 2407: Activate ephemeral prefix caching to slash input costs by 50% (down to $1/1M) or route via asynchronous Batch API for 50% off standard token rates.
Magnum v4 72B (anthracite-org/magnum-v4-72b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Magnum v4 72B: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Mistral Large 2407 (API ID: mistralai/mistral-large-2407) vs Magnum v4 72B (API ID: anthracite-org/magnum-v4-72b), Mistral Large 2407 offers lower standard input pricing at $2/1M tokens ($6/1M output), while Mistral Large 2407 leads in cached prefix economics at $1/1M tokens (50% discount). Mistral Large 2407 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 Large 2407 | Magnum v4 72B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-large-2407 | anthracite-org/magnum-v4-72b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $6 | $2.5 / $5 | Mistral Large 2407 |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $1.25/1M (50% Off) | Mistral Large 2407 |
| Context Window / Max Output | 128K In / 102K Out | 32K In / 4K Out | Mistral Large 2407 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral Large 2407 (-0ms) |
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. R
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://o
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 Large 2407 to Magnum v4 72B
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://o Verified P90 latency of 280ms.