Google: Gemma 4 31B (free) vs Cohere: Command R+ (08-2024): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free) vs Cohere: Command R+ (08-2024) (cohere/command-r-plus-08-2024). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free) — Google AI Startup Credits ($350K) & 50% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
Cohere: Command R+ (08-2024) (cohere/command-r-plus-08-2024) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Cohere: Command R+ (08-2024): 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 Google: Gemma 4 31B (free) (API ID: google/gemma-4-31b-it:free) vs Cohere: Command R+ (08-2024) (API ID: cohere/command-r-plus-08-2024), Google: Gemma 4 31B (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Google: Gemma 4 31B (free) leads in cached prefix economics at $0/1M tokens (50% discount). Google: Gemma 4 31B (free) 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 | Google: Gemma 4 31B (free) | Cohere: Command R+ (08-2024) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemma-4-31b-it:free | cohere/command-r-plus-08-2024 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $2.5 / $10 | Google: Gemma 4 31B (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $1.25/1M (50% Off) | Google: Gemma 4 31B (free) |
| Context Window / Max Output | 256K In / 32K Out | 125K In / 4K Out | Google: Gemma 4 31B (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemma 4 31B (free) (-0ms) |
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking
command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Comman
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 Google: Gemma 4 31B (free) to Cohere: Command R+ (08-2024)
command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Comman Verified P90 latency of 280ms.