CompareAI models

Kimi K2.7 CodeMoonshotHollow points use fallbacks · hover for details
Nemotron 3.5 Lightning 30B A3BNvidiaHollow points use fallbacks · hover for details

ReasoningCodingCost efficiencyContext windowMultimodalTool use

Normalized model capability scores
Model	Reasoning	Coding	Cost efficiency	Context window	Multimodal	Tool use
Kimi K2.7 Code	50/100 — Reasoning supported; no comparable benchmark	50/100 — No data; neutral placeholder	37/100	61/100	50/100	50/100 — Tool calling supported; no comparable benchmark
Nemotron 3.5 Lightning 30B A3B	0/100	37/100	87/100	61/100	0/100	50/100 — Tool calling supported; no comparable benchmark

Overview

Author

Moonshot

NVIDIA

Context length

262K

Reasoning

True

Input modalities

Text, Image, Video

Text

Output modalities

Text

Providers

Moonshot

NVIDIA

Pricing

Input

$0.95/ 1M

$0.05/ 1M

Output

$4.00/ 1M

$0.20/ 1M

Cached input

$0.19/ 1M

$0.01/ 1M

MomentumLast 2 mo

Unique users

236K

270K

Completed sessions

414,003

5,089,046

Token share

0.18%

0.49%

Tokens

1.6T-53%

4.2T+100%

AUG 6SEP 30

RetentionWeek 1

Returning users

55%19K user-weeks

Pending

Related comparisons. Other model pairs to check.

Nearby alternativeKimi K2.7 Code vs Jamba MiniKimi K2.7 CodeJamba Mini Nearby alternativeNemotron 3.5 Lightning 30B A3B vs Jamba MiniNemotron 3.5 Lightning 30B A3BJamba Mini Related comparisonKimi K2.7 Code vs Jamba LargeKimi K2.7 CodeJamba Large Related comparisonNemotron 3.5 Lightning 30B A3B vs Jamba LargeNemotron 3.5 Lightning 30B A3BJamba Large