Qwen: Qwen3 Coder 480B A35B vs OpenAI: GPT-5.1-Codex-Mini: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3 Coder 480B A35B (qwen/qwen3-coder) vs OpenAI: GPT-5.1-Codex-Mini (openai/gpt-5.1-codex-mini). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3 Coder 480B A35B (qwen/qwen3-coder) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 Coder 480B A35B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: GPT-5.1-Codex-Mini (openai/gpt-5.1-codex-mini) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen3 Coder 480B A35B (API ID: qwen/qwen3-coder) vs OpenAI: GPT-5.1-Codex-Mini (API ID: openai/gpt-5.1-codex-mini), OpenAI: GPT-5.1-Codex-Mini offers lower standard input pricing at $0.25/1M tokens ($2/1M output), while OpenAI: GPT-5.1-Codex-Mini leads in cached prefix economics at $0.125/1M tokens (50% discount). Qwen: Qwen3 Coder 480B A35B 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 | Qwen: Qwen3 Coder 480B A35B | OpenAI: GPT-5.1-Codex-Mini | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3-coder | openai/gpt-5.1-codex-mini | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.3 / $1 | $0.25 / $2 | OpenAI: GPT-5.1-Codex-Mini |
| Cache Read Price (per 1M) | $0.15/1M (50% Off) | $0.125/1M (50% Off) | OpenAI: GPT-5.1-Codex-Mini |
| Context Window / Max Output | 256K In / 64K Out | 391K In / 125K Out | OpenAI: GPT-5.1-Codex-Mini |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3 Coder 480B A35B (-0ms) |
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, to
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
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 Qwen: Qwen3 Coder 480B A35B to OpenAI: GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex Verified P90 latency of 280ms.