Cohere: Command R7B (12-2024) vs DeepSeek: R1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Cohere: Command R7B (12-2024) (cohere/command-r7b-12-2024) vs DeepSeek: R1 (deepseek/deepseek-r1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Cohere: Command R7B (12-2024) (cohere/command-r7b-12-2024) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Cohere: Command R7B (12-2024): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0187/1M) or route via asynchronous Batch API for 50% off standard token rates.
DeepSeek: R1 (deepseek/deepseek-r1) — Automatic Disk KV Cache ($0.35/1M) & 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.
In Etuki October 2026 FinOps telemetry comparing Cohere: Command R7B (12-2024) (API ID: cohere/command-r7b-12-2024) vs DeepSeek: R1 (API ID: deepseek/deepseek-r1), Cohere: Command R7B (12-2024) offers lower standard input pricing at $0.0375/1M tokens ($0.15/1M output), while Cohere: Command R7B (12-2024) leads in cached prefix economics at $0.0187/1M tokens (50% discount). Cohere: Command R7B (12-2024) 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 | Cohere: Command R7B (12-2024) | DeepSeek: R1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | cohere/command-r7b-12-2024 | deepseek/deepseek-r1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.0375 / $0.15 | $0.7 / $2.5 | Cohere: Command R7B (12-2024) |
| Cache Read Price (per 1M) | $0.0187/1M (50% Off) | $0.35/1M (50% Off) | Cohere: Command R7B (12-2024) |
| Context Window / Max Output | 125K In / 4K Out | 63K In / 16K Out | DeepSeek: R1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Cohere: Command R7B (12-2024) (-0ms) |
Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inf
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 Cohere: Command R7B (12-2024) to DeepSeek: R1
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inf Verified P90 latency of 280ms.