DeepSeek V4.1 Flash (DeepSeek) and Ling 3.1 Flash (InclusionAI) 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 4 October 2026
As of 4 October 2026, DeepSeek V4.1 Flash holds the stronger ModelCap Index position (#15 vs #16); Ling 3.1 Flash is cheaper per output token (Free/1M vs $2.40/1M); DeepSeek V4.1 Flash offers the longer context window (1M vs 262K tokens); and DeepSeek V4.1 Flash ships open weights.
Evidence: 4 public benchmark observations across 4 boards · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: DeepSeek V4.1 Flash vs Ling 3.1 Flash
Public benchmark boards where DeepSeek V4.1 Flash or Ling 3.1 Flash has a published result
DeepSeek V4.1 Flash vs Ling 3.1 Flash: common questions
Is DeepSeek V4.1 Flash better than Ling 3.1 Flash?
DeepSeek V4.1 Flash ranks higher on the ModelCap Index as of 4 October 2026: #15 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 Ling 3.1 Flash?
Ling 3.1 Flash is cheaper on output tokens: Free/1M against $2.40/1M. Input tokens are $0.0030/1M for DeepSeek V4.1 Flash and Free/1M for Ling 3.1 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 $1.21 for DeepSeek V4.1 Flash versus $0 for Ling 3.1 Flash. Ling 3.1 Flash costs 100.0% 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 Ling 3.1 Flash?
DeepSeek V4.1 Flash has the larger context window: 1M tokens against 262K. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.
Which is better for coding, DeepSeek V4.1 Flash or Ling 3.1 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 DeepSeek V4.1 Flash and Ling 3.1 Flash open-weight models?
DeepSeek V4.1 Flash: Open weights. Ling 3.1 Flash: No linked weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.
Where can I run DeepSeek V4.1 Flash and Ling 3.1 Flash?
ModelCap currently lists 28 API providers for DeepSeek V4.1 Flash and 1 for Ling 3.1 Flash, 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 Ling 3.1 Flash comparison?
Every figure and ModelCap Index position comes from the same published snapshot dated 4 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.