Google: Gemini 4 Argon vs Qwen: Qwen3 235B A22B Thinking 2507: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 4 Argon (google/gemini-4-argon) vs Qwen: Qwen3 235B A22B Thinking 2507 (qwen/qwen3-235b-a22b-thinking-2507). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 4 Argon (google/gemini-4-argon) — 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.
Qwen: Qwen3 235B A22B Thinking 2507 (qwen/qwen3-235b-a22b-thinking-2507) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 235B A22B Thinking 2507: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.225/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Google: Gemini 4 Argon (API ID: google/gemini-4-argon) vs Qwen: Qwen3 235B A22B Thinking 2507 (API ID: qwen/qwen3-235b-a22b-thinking-2507), Qwen: Qwen3 235B A22B Thinking 2507 offers lower standard input pricing at $0.45/1M tokens ($3.5/1M output), while Qwen: Qwen3 235B A22B Thinking 2507 leads in cached prefix economics at $0.225/1M tokens (50% discount). Google: Gemini 4 Argon 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: Gemini 4 Argon | Qwen: Qwen3 235B A22B Thinking 2507 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-4-argon | qwen/qwen3-235b-a22b-thinking-2507 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $10 | $0.45 / $3.5 | Qwen: Qwen3 235B A22B Thinking 2507 |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $0.225/1M (50% Off) | Qwen: Qwen3 235B A22B Thinking 2507 |
| Context Window / Max Output | 1024K In / 64K Out | 125K In / 16K Out | Google: Gemini 4 Argon |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 4 Argon (-0ms) |
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Goo
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B paramet
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 4 Argon to Qwen: Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B paramet Verified P90 latency of 280ms.