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DeepSeek

DeepSeek V3.2

ReasoningOpen weights
Intelligence
21.5
Rank 224 of 744 measured models
Coding
44.2
Rank 141 of 298 measured models
Price/1M
$0.315
Rank 213 of 659 measured models
Context window
128K
Rank 773 of 1199 measured models

DeepSeek V3.2 (Reasoning) scores 21.5 on the Artificial Analysis Intelligence Index, ranking 224th of 744 measured models. The closest models on this index are KAT Coder Pro V2 (21.7), A.X-K2 (21.5), and Qwen3.6 27B (21.4). At $0.315 per million tokens (3:1 input/output blended price), it is cheaper than KAT Coder Pro V2 ($0.525) and Qwen3.6 27B ($1.35).

Artificial Analysis Indices
Reasoning
Intelligence21.5
Rank 224 of 744 measured models
Coding44.2
Rank 141 of 298 measured models
Math92.0
Rank 17 of 270 measured models
Reasoning levels
Each point is a reasoning level of this model: more reasoning often raises the score but costs more. Select a point to open that level.
Intelligence Indexmost efficient ↗Price / 1M tokens
Standard Benchmarks
MMLU Pro86.2%
Rank 18 of 349 measured models
GPQA Diamond84.0%
Rank 158 of 619 measured models
HLE24.6%
Rank 188 of 664 measured models
LiveCodeBench86.2%
Rank 11 of 343 measured models
AIME 202592.0%
Rank 17 of 270 measured models
IFBench60.7%
Rank 127 of 450 measured models
AA-LCR73.3%
Rank 181 of 575 measured models
TerminalBench Hard35.6%
Rank 75 of 432 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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