DeepSeek·#70 of 354 on the current board·cheaper than #69 o3
DeepSeek V4.1 Flash 1017 is a language model from DeepSeek. It ranks #70 of 354 on ModelCap's current board, with a preliminary Index score of 61.5, partly measured on public benchmarks and partly modeled. Its score range of 48.8–74.3 spans positions #30–#121. It is listed at $0.15 per million input tokens and $0.60 per million output tokens across 25 providers. It reads up to 1M tokens of context, and its weights are openly downloadable.
Figures as of 21 Oct 2026, 22:05 UTC · download the public dataset · methodology
Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.
Preliminary. Measured on 1 public benchmark so far, with limited support. Expect the score and position to move as more boards report. What this label means
No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Not yet published: the base model it derives from, pinned evaluation dataset versions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
deepseek/deepseek-v4.1-flash-1017OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.
Models within 3 places of #70 on the ModelCap Index.
Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).
The same publisher's other current models with a public Index position.
DeepSeek V4.1 Flash 1017 holds ModelCap Index position #70 of 354 ranked language models as of 21 October 2026, with an Index score of 61.5 (interval 48.8–74.3); evidence: measured · blended. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
DeepSeek V4.1 Flash 1017 is listed at $0.15 per 1M input tokens and $0.60 per 1M output tokens as of 21 October 2026; the lowest output price among 25 providers is $0.105 on OpenInference. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.60 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
DeepSeek V4.1 Flash 1017 has a published context window of 1M tokens (1,048,576). The snapshot lists a 393,216 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Open weights (mit). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is deepseek-ai/DeepSeek-V4.1-Flash-1017 on Hugging Face.
25 providers serve DeepSeek V4.1 Flash 1017 through OpenRouter as of 21 October 2026: OpenInference, Relace, DeepInfra, InferenceNet, Decart and Cloudflare and 19 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
DeepSeek V4.1 Flash 1017 has published results on 3 public boards tracked by ModelCap as of 21 October 2026: ARC-AGI-2 78.1% (#42 of 280), AA Intelligence Index 45.1 (#29 of 132) and AA Humanity's Last Exam 43.3% (#36 of 265). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
DeepSeek V4.1 Flash 1017 ranks #70 (Index 61.5) and DeepSeek V4 Pro 0813 ranks #29 (Index 74.9) on the ModelCap Index as of 21 October 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
DeepSeek V4.1 Flash 1017 first appeared in the catalogue on 17 Oct 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.