MODEL PROFILE / EDITION 2026.09
DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
No ordinal score is published because comparable evidence is incomplete. No rank delta is shown because there is no prior numeric snapshot.
Best for
Catalogue discovery; compare availability, context, and public token pricing before benchmark review.
Price & access
$0.269 input / $0.4 output per 1M tokens on OpenRouter.
Evidence summary
Availability and price come from OpenRouter; normalized frontend and coding evidence has not yet been reviewed.
Edition status
Tracked. Tracked in the September 2026 baseline.
Strengths
- Current model catalogue entry with a public API identifier and pricing metadata.
Tradeoffs
- No normalized frontend-quality score has been assigned.
- Popularity and recency are not treated as quality evidence.
Linked evidence
Evidence source 1 ↗Evidence source 2 ↗Use the same published data, filters, and side-by-side metrics.