VECTOR WIREAI INTELLIGENCE
UTC
Refresh Models Deals Regulatory Sources

Kimi K2.6 vs MiniMax M2.7

73 SHARED BENCHMARKS

Across 73 shared benchmarks, Kimi K2.6 scores higher on 66 and MiniMax M2.7 on 7. The widest gap is AA-Omniscience, where Kimi K2.6 scores 6.4 against 0.8. MiniMax M2.7 is the cheaper of the two on tracked API pricing ($0.30 against $0.95 per million input tokens).

MOONSHOTVSMINIMAX73 SHARED667 HEAD-TO-HEAD
BenchmarkKimi K2.6MARGINMiniMax M2.7
AA-LCR76.775.3
aime_202696.489.8
Airline85.875.3
apexAgents28.510.6
Banking23.114.6
browsecomp86.354.1
critpt80.6
gdpval50.447.6
GDPval-AA v211901159
GPQA Diamond91.187.4
HLE37.529.6
IFBench7675.7
itbenchSre31.226.5
MCP Atlas68.148.8
MMLU-Pro88.181.9
PinchBench90.277.6
Retail82.984.9
scicode53.547
strongreject99.899.4
Telecom97.889.6
vectara_hallucination_rate↓ lower is better10.812.9
τ³-Bench23.167.6

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 Kimi K2.6 withEVERY TRACKED PAIRING

Anthropic12 PAIRINGS
OpenAI11 PAIRINGS
Google11 PAIRINGS
Alibaba11 PAIRINGS
DeepSeek5 PAIRINGS
Moonshot3 PAIRINGS
Meta2 PAIRINGS
Z.ai2 PAIRINGS
NVIDIA1 PAIRING

Compare MiniMax M2.7 withEVERY TRACKED PAIRING

Anthropic12 PAIRINGS
OpenAI11 PAIRINGS
Google11 PAIRINGS
Alibaba11 PAIRINGS
DeepSeek5 PAIRINGS
Moonshot3 PAIRINGS
Meta2 PAIRINGS
Z.ai2 PAIRINGS
NVIDIA1 PAIRING