DeepSeek·#133 of 504 in the all-versions archive
DeepSeek V3.2 Exp is a language model from DeepSeek. It ranks #133 of 504 in ModelCap's all-versions archive, with an Index score of 61.6, measured on 2 public benchmarks. Its score range of 56.4–66.8 spans positions #104–#165. It is listed at $0.27 per million input tokens and $0.41 per million output tokens from one provider. It reads up to 164K 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Superseded by DeepSeek V3.2. It no longer holds a current-board position; its all-versions archive rank is #133.
Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.
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. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.
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: 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.
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-v3.2-expOpenRouter 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 V3.2 Exp 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 V3.2 Exp is listed at $0.27 per 1M input tokens and $0.41 per 1M output tokens as of 6 November 2026. 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 $0.745 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 V3.2 Exp has a published context window of 164K tokens (163,840). The snapshot lists a 147,456 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-V3.2-Exp on Hugging Face.
One provider serves DeepSeek V3.2 Exp through OpenRouter as of 6 November 2026: SiliconFlow. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
DeepSeek V3.2 Exp has published results on 3 public boards tracked by ModelCap as of 6 November 2026: Arena text 1425 (#124 of 419), Arena coding 1475 (#120 of 414) and BFCL V4 56.7 (#12 of 83). 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 V3.2 Exp first appeared in the catalogue on 29 Sept 2025, with a published knowledge cutoff of 2025-07-31. It has since been superseded by DeepSeek V3.2. Rank and price movements since then are recorded on the site's changes feed.