Google Gemini 2.0 Pro Exp vs MiniMax Text-02 Ultra (4M): Live Promos, Pricing, Hidden Fees & Latency
Google Gemini 2.0 Pro Exp (google/gemini-2.0-pro-exp) — Google AI Startup Credits ($350K) & 95% 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.
MiniMax Text-02 Ultra (4M) (minimax-text-02-ultra) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MiniMax Text-02 Ultra (4M): Activate ephemeral prefix caching to slash input costs by 90% (down to 0.08/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Google Gemini 2.0 Pro Exp (API ID: google/gemini-2.0-pro-exp) vs MiniMax Text-02 Ultra (4M) (API ID: minimax-text-02-ultra), MiniMax Text-02 Ultra (4M) offers lower standard input pricing at $0.8/1M tokens ($3.2/1M output), while MiniMax Text-02 Ultra (4M) leads in cached prefix economics at $0.08/1M tokens (90% discount). Google Gemini 2.0 Pro Exp achieves a 75ms faster P90 time-to-first-token latency (145ms vs 220ms).
Prompts exceeding 200K tokens incur 2x tier pricing unless pinned via Google AI Studio Context Caching (75% off).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | Google Gemini 2.0 Pro Exp | MiniMax Text-02 Ultra (4M) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-2.0-pro-exp | minimax-text-02-ultra | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $5 | $0.8 / $3.2 | MiniMax Text-02 Ultra (4M) |
| Cache Read Price (per 1M) | $0.25/1M (95% Off) | $0.08/1M (90% Off) | MiniMax Text-02 Ultra (4M) |
| Context Window / Max Output | 1050K In / 128K Out | 4000K In / 128K Out | Google Gemini 2.0 Pro Exp |
| P90 First-Token / Edge Latency | 145ms | 220ms | Google Gemini 2.0 Pro Exp (-75ms) |
Google Gemini 2.0 Pro Exp is Google DeepMind's native multimodal frontier model supporting up to 2M context tokens and implicit context caching.
MiniMax 4-Million token ultra-long context model ($0.80/$3.20 per 1M, $0.08 cache read [90% off], 4M context window).
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 Gemini 2.0 Pro Exp to MiniMax Text-02 Ultra (4M)
MiniMax 4-Million token ultra-long context model ($0.80/$3.20 per 1M, $0.08 cache read [90% off], 4M context window). Verified P90 latency of 220ms.