XingChen: Xing4.0 29B A4B (free) vs Google: Gemini 3.1 Pro Preview: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing XingChen: Xing4.0 29B A4B (free) (xingchen-agi/xing4.0-29b-a4b:free) vs Google: Gemini 3.1 Pro Preview (google/gemini-3.1-pro-preview). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
XingChen: Xing4.0 29B A4B (free) (xingchen-agi/xing4.0-29b-a4b:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for XingChen: Xing4.0 29B A4B (free): Activate ephemeral prefix caching to slash input costs by 50% (down to $0/1M) or route via asynchronous Batch API for 50% off standard token rates.
Google: Gemini 3.1 Pro Preview (google/gemini-3.1-pro-preview) — 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 XingChen: Xing4.0 29B A4B (free) (API ID: xingchen-agi/xing4.0-29b-a4b:free) vs Google: Gemini 3.1 Pro Preview (API ID: google/gemini-3.1-pro-preview), XingChen: Xing4.0 29B A4B (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while XingChen: Xing4.0 29B A4B (free) leads in cached prefix economics at $0/1M tokens (50% discount). XingChen: Xing4.0 29B A4B (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 | XingChen: Xing4.0 29B A4B (free) | Google: Gemini 3.1 Pro Preview | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | xingchen-agi/xing4.0-29b-a4b:free | google/gemini-3.1-pro-preview | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $2 / $12 | XingChen: Xing4.0 29B A4B (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $1/1M (50% Off) | XingChen: Xing4.0 29B A4B (free) |
| Context Window / Max Output | 256K In / 230K Out | 1024K In / 64K Out | XingChen: Xing4.0 29B A4B (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | XingChen: Xing4.0 29B A4B (free) (-0ms) |
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage acro
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 XingChen: Xing4.0 29B A4B (free) to Google: Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage acro Verified P90 latency of 280ms.