DeepSeek V4.1 Flash (DeepSeek) and GPT-5.6 Sol (OpenAI) 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 12 September 2026
As of 12 September 2026, GPT-5.6 Sol holds the stronger ModelCap Index position (#5 vs #16); DeepSeek V4.1 Flash is 16.7× cheaper per output token ($0.60/1M vs $10.00/1M); and DeepSeek V4.1 Flash ships open weights.
Evidence: 1 public benchmark observation across 1 board · 7 public benchmark observations across 7 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: DeepSeek V4.1 Flash vs GPT-5.6 Sol
Public benchmark boards where DeepSeek V4.1 Flash or GPT-5.6 Sol has a published result
DeepSeek V4.1 Flash vs GPT-5.6 Sol: common questions
Is DeepSeek V4.1 Flash better than GPT-5.6 Sol?
GPT-5.6 Sol ranks higher on the ModelCap Index as of 12 September 2026: #5 against #16. 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 DeepSeek V4.1 Flash cheaper than GPT-5.6 Sol?
DeepSeek V4.1 Flash is cheaper on output tokens: $0.60/1M against $10.00/1M. Input tokens are $0.15/1M for DeepSeek V4.1 Flash and $2.00/1M for GPT-5.6 Sol. 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 $0.60 for DeepSeek V4.1 Flash versus $9.00 for GPT-5.6 Sol. DeepSeek V4.1 Flash costs 93.3% 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, DeepSeek V4.1 Flash or GPT-5.6 Sol?
Both publish a 1M-token context window.
Which is better for coding, DeepSeek V4.1 Flash or GPT-5.6 Sol?
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 DeepSeek V4.1 Flash and GPT-5.6 Sol open-weight models?
DeepSeek V4.1 Flash: Open weights. GPT-5.6 Sol: API only. 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 DeepSeek V4.1 Flash and GPT-5.6 Sol?
ModelCap currently lists 12 API providers for DeepSeek V4.1 Flash and 3 for GPT-5.6 Sol, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this DeepSeek V4.1 Flash vs GPT-5.6 Sol comparison?
Every figure comes from the sealed ModelCap dataset published 12 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.