GPT-6 Sol (OpenAI) and Qwen3.8 Flash (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 22 September 2026
As of 22 September 2026, GPT-6 Sol holds the stronger ModelCap Index position (#2 vs #15); and Qwen3.8 Flash is 21.3× cheaper per output token ($0.47/1M vs $10.00/1M).
Evidence: 1 public benchmark observation across 1 board · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: GPT-6 Sol vs Qwen3.8 Flash
Public benchmark boards where GPT-6 Sol or Qwen3.8 Flash has a published result
GPT-6 Sol ranks higher on the ModelCap Index as of 22 September 2026: #2 against #15. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is GPT-6 Sol cheaper than Qwen3.8 Flash?
Qwen3.8 Flash is cheaper on output tokens: $0.47/1M against $10.00/1M. Input tokens are $2.00/1M for GPT-6 Sol and $0.15/1M for Qwen3.8 Flash. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for GPT-6 Sol versus $0.53 for Qwen3.8 Flash. Qwen3.8 Flash costs 94.1% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, GPT-6 Sol or Qwen3.8 Flash?
Both publish a 1M-token context window.
Which is better for coding, GPT-6 Sol or Qwen3.8 Flash?
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
Are GPT-6 Sol and Qwen3.8 Flash open-weight models?
GPT-6 Sol: API only. Qwen3.8 Flash: Restricted license. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run GPT-6 Sol and Qwen3.8 Flash?
ModelCap currently lists 2 API providers for GPT-6 Sol and 1 for Qwen3.8 Flash, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this GPT-6 Sol vs Qwen3.8 Flash comparison?
Every figure comes from the sealed ModelCap dataset published 22 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.