Mistral: Mistral Medium 3.5 vs Google: Gemini 3.7 Flash: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Medium 3.5 (mistralai/mistral-medium-3-5) vs Google: Gemini 3.7 Flash (google/gemini-3.7-flash). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Medium 3.5 (mistralai/mistral-medium-3-5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.75/1M) or route via asynchronous Batch API for 50% off standard token rates.
Google: Gemini 3.7 Flash (google/gemini-3.7-flash) — 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.
In Etuki October 2026 FinOps telemetry comparing Mistral: Mistral Medium 3.5 (API ID: mistralai/mistral-medium-3-5) vs Google: Gemini 3.7 Flash (API ID: google/gemini-3.7-flash), Google: Gemini 3.7 Flash offers lower standard input pricing at $0.75/1M tokens ($3.75/1M output), while Google: Gemini 3.7 Flash leads in cached prefix economics at $0.375/1M tokens (50% discount). Mistral: Mistral Medium 3.5 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 Medium 3.5 | Google: Gemini 3.7 Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-medium-3-5 | google/gemini-3.7-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.5 / $7.5 | $0.75 / $3.75 | Google: Gemini 3.7 Flash |
| Cache Read Price (per 1M) | $0.75/1M (50% Off) | $0.375/1M (50% Off) | Google: Gemini 3.7 Flash |
| Context Window / Max Output | 256K In / 205K Out | 1024K In / 64K Out | Mistral: Mistral Medium 3.5 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Medium 3.5 (-0ms) |
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, a
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performanc
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 Medium 3.5 to Google: Gemini 3.7 Flash
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performanc Verified P90 latency of 280ms.