/ Model comparison / GPT-6.1 Sol vs Qwen3.8-Flash

GPT-6.1 Sol vs Qwen3.8-Flash

OpenAI vs Alibaba Cloud Model Studio · prices and specs, line by line

GPT-6.1 Sol (OpenAI) vs Qwen3.8-Flash (Alibaba Cloud Model Studio), side by side: input/output/cache-hit prices, time-based pricing, context window, modalities and a fixed-assumption monthly cost. Green marks the better row.

DimensionGPT-6.1 SolQwen3.8-Flash
Vendor / channel OpenAI Alibaba Cloud Model Studio
Context window 1050K 1000K
Modalities Text, Image understanding Text, Image understanding, Video understanding
Features Complex coding, Agentic tasks Latest lightweight, 1M-token context
Input (cache miss) Input ≤272K $2 Input >272K (long context) not published ¥0.8
Output Input ≤272K $10 Input >272K (long context) not published ¥2.7
Cache hit Input ≤272K $0.1 Input >272K (long context) not published ¥0.1
Time-based pricing
Est. monthly cost* $32.58
≈ ¥218.87
¥10.02
¥10.02
Price source OpenAI API pricing Alibaba Cloud Model Studio — Qwen3.8-Flash model page
Verified 2026-10-28 2026-10-28

* Fixed assumptions for the example monthly cost: 100 calls/day · 2,000 input / 800 output tokens per call · off-peak rates · 30% cache hit rate · 30-day month — the same formula and defaults as the cost calculator. USD models are converted to CNY at the reference rate for comparison (see summary). Costs within display precision are marked tied; neither side is favored.

Comparison summary (fixed usage basis)

These are computations from published list prices under fixed call volume, token usage, cache assumptions and billing rules. They are not rankings of capability, output quality or overall value, and do not constitute purchase advice.

Calculate with your own usage → GPT-6.1 Sol profile Qwen3.8-Flash profile