Deepseek v3.2 exp
DeepSeek V3.2 Exp is an experimental model featuring DeepSeek Sparse Attention (DSA) for high efficiency. It delivers long-context handling up to 128k tokens with reduced inference costs.
Leaderboards
QUALITY
Average Score combining domain-specific Autobench scores; Higher is better
- 4.49
- 4.45
- 4.37
- 4.37
- 4.34
- 4.32
- 4.30
- 4.27
- 4.27
- 4.25
- 4.23
- 4.21
- 4.17
- 4.08
- 3.70
- 3.70
- 3.61
- 3.46
- 3.35
PRICE
USD cent per average answer; Lower is better
- 0.01
- 0.03
- 0.05
- 0.06
- 0.07
- 0.10
- 0.17
- 0.17
- 0.26
- 0.58
- 0.83
- 0.91
- 0.98
- 1.42
- 1.88
- 4.84
- 7.53
- 7.71
- 15.44
LATENCY
Average Latency in Seconds; Lower is better
- 99.89s
- 6.62s
- 13.00s
- 13.16s
- 14.38s
- 17.14s
- 17.49s
- 17.88s
- 18.39s
- 19.90s
- 23.30s
- 24.98s
- 36.21s
- 40.03s
- 41.83s
- 43.38s
- 45.14s
- 45.45s
- 54.51s
- 58.05s
- 63.81s
- 68.67s
- 85.92s
- 100.48s
- 107.45s
- 113.96s
- 129.78s
- 151.90s
Performance vs. Industry Average
Intelligence
Deepseek v3.2 exp is of higher intelligence compared to average (4.1), with an intelligence score of 4.2.
Price
Deepseek v3.2 exp is cheaper compared to average ($1.68 per 1M Tokens) with a price of $0.12 per 1M Tokens.
Latency
Deepseek v3.2 exp has a higher average latency compared to average (53.05s), with an average latency of 99.52s.
P99 Latency
Deepseek v3.2 exp has a higher P99 latency compared to average (187.12s), taking 383.58s to receive the first token at P99 (TTFT).
Context Window
Deepseek v3.2 exp has a smaller context window than average (339k tokens), with a context window of 164k tokens.