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DeepSeek-V3.2 vs Kimi K2 Instruct

61 SHARED BENCHMARKS

Across 61 shared benchmarks, DeepSeek-V3.2 scores higher on 53 and Kimi K2 Instruct on 8. The widest gap is BrowseComp w/ tools, where DeepSeek-V3.2 scores 40.1 against 7.4. DeepSeek-V3.2 is the cheaper of the two on tracked API pricing ($0.28 against $0.60 per million input tokens).

DEEPSEEKVSMOONSHOT61 SHARED538 HEAD-TO-HEAD
AA-LCR70.753.7
AA-Omniscience-22.5-26.6
AIME 202593.157
browsecomp51.414.1
critpt2.90
Frames80.258.1
gdpval18.818.2
HealthBench46.943.8
HLE40.87.9
HMMT 202590.238.8
mmlu_redux93.792.7
MMLU-Pro8682.5
Seal-049.525.2
vectara_hallucination_rate↓ lower is better6.317.9

Best tracked score per model per benchmark (default configuration; source-attributed). ↓ marks lower-is-better metrics. Open either model for its full surface, provenance and pricing. Quoted rates are the price-setter row we currently track for each model — its direct or vendor-official listing where one exists (direct, direct), otherwise the lowest tracked offer.

Compare DeepSeek-V3.2 withEVERY TRACKED PAIRING

Anthropic12 PAIRINGS
OpenAI11 PAIRINGS
Google11 PAIRINGS
Alibaba11 PAIRINGS
DeepSeek4 PAIRINGS
Moonshot3 PAIRINGS
Meta2 PAIRINGS
Z.ai2 PAIRINGS
MiniMax1 PAIRING
NVIDIA1 PAIRING

Compare Kimi K2 Instruct withEVERY TRACKED PAIRING

Anthropic12 PAIRINGS
OpenAI11 PAIRINGS
Google11 PAIRINGS
Alibaba11 PAIRINGS
DeepSeek4 PAIRINGS
Moonshot3 PAIRINGS
Meta2 PAIRINGS
Z.ai2 PAIRINGS
MiniMax1 PAIRING
NVIDIA1 PAIRING