DeepSeek V3.2
DeepSeek released 2025-12-01 mit
$0.290 per million tokens, balanced
No independent quality score.
No benchmark we track has measured this model. That is not the same as measuring it and finding it wanting — we simply cannot rank it, so we do not.
Every price dimension
| Input | $0.260/M |
|---|---|
| Output | $0.380/M |
| Cached input | $0.130/M |
Independent scores
| Coding | 44.2 |
|---|---|
| LMArena Elo | 1424.6default |
Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.
Capability
| Context window | 164K |
|---|---|
| Max output | 164K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |
| Open weights | yes |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-08-24 |
| Quality data | unrated |
| Cross-checked | vendor page |
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...