Google: Gemma 3 12B vs Mistral: Mistral Medium 3.1 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemma 3 12B (google/gemma-3-12b-it) vs Mistral: Mistral Medium 3.1 (batch) (mistralai/mistral-medium-3.1:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemma 3 12B (google/gemma-3-12b-it) — 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.
Mistral: Mistral Medium 3.1 (batch) (mistralai/mistral-medium-3.1:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.1 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Google: Gemma 3 12B (API ID: google/gemma-3-12b-it) vs Mistral: Mistral Medium 3.1 (batch) (API ID: mistralai/mistral-medium-3.1:batch), Google: Gemma 3 12B offers lower standard input pricing at $0.05/1M tokens ($0.15/1M output), while Google: Gemma 3 12B leads in cached prefix economics at $0.025/1M tokens (50% discount). Google: Gemma 3 12B 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 3 12B | Mistral: Mistral Medium 3.1 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemma-3-12b-it | mistralai/mistral-medium-3.1:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.15 | $0.2 / $1 | Google: Gemma 3 12B |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $0.1/1M (50% Off) | Google: Gemma 3 12B |
| Context Window / Max Output | 128K In / 16K Out | 128K In / 102K Out | Mistral: Mistral Medium 3.1 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemma 3 12B (-0ms) |
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improv
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at signifi
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 3 12B to Mistral: Mistral Medium 3.1 (batch)
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at signifi Verified P90 latency of 280ms.