DeepSeek·#50 of 504 in the all-versions archive
DeepSeek V4 Flash 0731 is a language model from DeepSeek. It ranks #50 of 504 in ModelCap's all-versions archive, with a thinly supported Index score of 76.2, partly measured on public benchmarks and partly modeled. Its score range of 68.9–83.5 spans positions #9–#92. It is listed at $0.057 per million input tokens and $0.30 per million output tokens across 26 providers. It reads up to 1M tokens of context, and its weights are openly downloadable.
Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology
Superseded by DeepSeek V4.1 Flash 1017. It no longer holds a current-board position; its all-versions archive rank is #50.
Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.
Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. Rows marked as used were laddered against independently measured peers inside the launch-card channel of this model's modeled placement, with the replay-measured optimism haircut applied; the others played no part.
Limited evidence. Measured on only 1 public benchmark, with limited support, so the score is less certain than a broadly measured one. 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-flash-0731OpenRouter 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.
DeepSeek V4 Flash 0731 is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
DeepSeek V4 Flash 0731 is listed at $0.057 per 1M input tokens and $0.30 per 1M output tokens as of 6 November 2026; the lowest output price among 26 providers is $0.14 on Relace. 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 $0.263 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 Flash 0731 has a published context window of 1M tokens (1,048,576). The snapshot lists a 943,718 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-Flash-0731 on Hugging Face.
26 providers serve DeepSeek V4 Flash 0731 through OpenRouter as of 6 November 2026: Wafer, Baidu, DeepInfra, Relace, PrimeIntellect and Reka and 20 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
DeepSeek V4 Flash 0731 has published results on 1 public board tracked by ModelCap as of 6 November 2026: ARC-AGI-2 61.4% (#79 of 280). 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 Flash 0731 first appeared in the catalogue on 31 Jul 2026. It has since been superseded by DeepSeek V4.1 Flash 1017. Rank and price movements since then are recorded on the site's changes feed.