DeepSeek V3.2 (Thinking)

DeepSeek V3.2 (Thinking) is a reasoning model from DeepSeek in the DeepSeek V3.2 family. 9 benchmarks count toward its score, in 4 categories.

availableShows if the model has enough results for an index.
IndexOverall score out of 100.49.9 ±8.9
CoverageShare of the index weight with results.65%
SpeedOutput tokens per second.
Input / 1MUS dollars per 1M input tokens.$0.55
Output / 1MUS dollars per 1M output tokens.$2.19
ContextMaximum tokens in one request.128K
EloLMArena rating and rank.N/A

The index is a score out of 100. The ± range shows how much it can change.

CapabilitiesScore per category, out of 100.

Out of 100
AgenticMulti-step tasks with tools.
46.9
CodingCode writing and repair.
49.9
ReasoningLogic problems and puzzles.
N/A
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
53.4
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
53.2

Results

9 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result as a score out of 100.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
MGSMMultilingual86.0%9 Jan 2026Vals AI
MMLU ProKnowledge84.9%54.31 Sept 2026Vals AI
AIMEMath84.6%53.216 Apr 2026Vals AI
LiveCodeBenchCoding80.7%57.71 Sept 2026Vals AI
GPQA DiamondKnowledge80.3%52.41 Sept 2026Vals AI
SWE-benchCoding67.6%51.81 Sept 2026Vals AI
Terminal-Bench 1.0Agentic40.0%45.412 Jan 2026Vals AI
Terminal-Bench 2.0Agentic36.0%48.34 Jun 2026Vals AI
IOI v1Coding10.7%46.09 Aug 2026Vals AI
Vibe Code Bench v1.1Coding5.1%44.3OpenHands21 Sept 2026Vals AI

9 benchmarks count, from 9 of 10 results. A grey row does not count. Too few models took that benchmark.

Sources

BenchLM benchmark aggregationUsed with attribution; per-benchmark results credited to their original authorsVals AI, collected directlyNo licence stated. Read from the public leaderboard and credited to Vals AI

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