Alibaba Qwen Qwen3 235B A22B vs Google Gemini 1.5 Pro 002: Live Promos, Pricing, Hidden Fees & Latency
Alibaba Qwen Qwen3 235B A22B (qwen/qwen3-235b-a22b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Alibaba Qwen Qwen3 235B A22B: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.022/1M) or route via asynchronous Batch API for 50% off standard token rates.
Google Gemini 1.5 Pro 002 (google/gemini-1.5-pro-002) — 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.
In Etuki October 2026 FinOps telemetry comparing Alibaba Qwen Qwen3 235B A22B (API ID: qwen/qwen3-235b-a22b) vs Google Gemini 1.5 Pro 002 (API ID: google/gemini-1.5-pro-002), Alibaba Qwen Qwen3 235B A22B offers lower standard input pricing at $0.22/1M tokens ($0.88/1M output), while Alibaba Qwen Qwen3 235B A22B leads in cached prefix economics at $0.022/1M tokens (90% discount). Google Gemini 1.5 Pro 002 achieves a 50ms faster P90 time-to-first-token latency (145ms vs 195ms).
Gateway-synced rate ($0.22/$0.88 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Prompts exceeding 200K tokens incur 2x tier pricing unless pinned via Google AI Studio Context Caching (75% off).
| Specification / FinOps Dimension | Alibaba Qwen Qwen3 235B A22B | Google Gemini 1.5 Pro 002 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3-235b-a22b | google/gemini-1.5-pro-002 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.22 / $0.88 | $1 / $5 | Alibaba Qwen Qwen3 235B A22B |
| Cache Read Price (per 1M) | $0.022/1M (90% Off) | $0.25/1M (95% Off) | Alibaba Qwen Qwen3 235B A22B |
| Context Window / Max Output | 128K In / 64K Out | 1050K In / 128K Out | Google Gemini 1.5 Pro 002 |
| P90 First-Token / Edge Latency | 195ms | 145ms | Google Gemini 1.5 Pro 002 (-50ms) |
Alibaba Qwen Qwen3 235B A22B (qwen/qwen3-235b-a22b): OpenRouter gateway-synced model at $0.22/1M input, $0.88/1M output, $0.022/1M cached input (128K context window).
Google Gemini 1.5 Pro 002 is Google DeepMind's native multimodal frontier model supporting up to 2M context tokens and implicit context caching.
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 Alibaba Qwen Qwen3 235B A22B to Google Gemini 1.5 Pro 002
Google Gemini 1.5 Pro 002 is Google DeepMind's native multimodal frontier model supporting up to 2M context tokens and implicit context caching. Verified P90 latency of 145ms.