DeepSeek: DeepSeek V3.2
DeepSeek: DeepSeek V3.2 ranks #50 of 85 models by Artificial Analysis quality score (32.6) at $0.30/1M tokens blended - and ranks #29 of 291 by average real OpenRouter usage share over the trailing 35-day window (0.66%). Available from 14 providers at up to 100.0% uptime.
- Quality (Intelligence Index) - 32.6
- Coding index - 44.2
- Agentic index - 18.3
- Price (blended $/1M) - 0.30
- Context window - 163,840
- Usage rank - #29 of 291
- Providers - 14
- Open/closed - open
Usage share over time
What DeepSeek: DeepSeek V3.2 is actually used for
Share of each real task category's classified traffic this model handles, from OpenRouter's task classification.
| Task | Share of task traffic |
|---|---|
| Roleplay & Fiction | 3.9% |
Frequently asked questions
What is DeepSeek: DeepSeek V3.2's quality score?
DeepSeek: DeepSeek V3.2 scores 32.6 on Artificial Analysis's Intelligence Index, ranking #50 of 85 models with a published score.
How much does DeepSeek: DeepSeek V3.2 cost?
DeepSeek: DeepSeek V3.2 costs $0.30 per 1M tokens (blended 75% prompt / 25% completion pricing).
Is DeepSeek: DeepSeek V3.2 widely used?
DeepSeek: DeepSeek V3.2 ranks #29 of 291 models by average real OpenRouter usage share, averaging 0.66% of classified token volume over the trailing 35-day window.
Is DeepSeek: DeepSeek V3.2 open-weight or closed?
DeepSeek: DeepSeek V3.2 is an open-weight model.
Source: OpenRouter (openrouter.ai/rankings), as of August 9, 2026.
Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).
Methodology: smophy.ai/benchmark/methodology
Token counts originate from each provider's own tokenizer and are not directly comparable across providers.
