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Kimi K2.7 Code vs Nemotron 3.5 Lightning

Updated October 21, 2026. 13 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
25.8
Output $/M
$4.00
12
Nemotron 3.5 LightningNVIDIA
Coding
22.6
Overall
12.9
Output $/M
$0.147
0
vs boards won of 13 shared, 1 tied

Decision reading

Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 22.6 for Nemotron 3.5 Lightning.

Pick Nemotron 3.5 Lightning when output tokens cost 27.2x less, or when a solved task costs $0.06 against $0.35.

Shared results
13
Kimi K2.7 Code only
38
Nemotron 3.5 Lightning only
7
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Kimi K2.7 Code 53.4 from 4 benchmarks, Nemotron 3.5 Lightning 22.6 from 2 benchmarks.
Widest category
Coding, 25.6 points apart on average over 8 shared benchmarks.
Widest single gap
Terminal-Bench 2.1 (Vals AI): Kimi K2.7 Code 67.0% against Nemotron 3.5 Lightning 10.9%, 56.2 points apart on a 0 to 100 scale.
Output price
Kimi K2.7 Code $4.00 against Nemotron 3.5 Lightning $0.147 per million output tokens, 27.2x apart.
Context window
Both take 262K tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryKimi K2.7 CodeBarsNemotron 3.5 LightningTies
Coding701 tie
Intelligence10
Agentic work10
Reasoning20
General10
All shared boards1201 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Kimi K2.7 Code and Nemotron 3.5 Lightning
BenchmarkKimi K2.7 CodeNemotron 3.5 LightningLeader
LMArena WebDev1474Not measuredOnly Kimi K2.7 Code measured
AA Coding Index60.826.8Kimi K2.7 Code
LiveCodeBench (Vals AI)82.0%Not measuredOnly Kimi K2.7 Code measured
SWE-bench Verified (Vals AI)78.2%52.8%Kimi K2.7 Code
Vibe Code Bench (Vals AI)47.2%0.0%Kimi K2.7 Code
Code migration (Vals AI)25.4%3.0%Kimi K2.7 Code
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)67.0%10.9%Kimi K2.7 Code
SkillsBench (Vals AI)50.0%Not measuredOnly Kimi K2.7 Code measured
CyberBench (Vals AI)Not measured29.5%Only Nemotron 3.5 Lightning measured
SciCode47.8%32.1%Kimi K2.7 Code
Terminal-Bench Hard (Artificial Analysis run)44.7%Not measuredOnly Kimi K2.7 Code measured
FrontierCode30.1%Not measuredOnly Kimi K2.7 Code measured
WeirdML54.1%Not measuredOnly Kimi K2.7 Code measured
ALE-Bench886.2769.2Kimi K2.7 Code
LMArena WebDev: React1475Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: HTML1451Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: from an image1513Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Kimi K2.7 Code and Nemotron 3.5 Lightning
BenchmarkKimi K2.7 CodeNemotron 3.5 LightningLeader
AA Intelligence Index25.812.9Kimi K2.7 Code
Epoch Capabilities Index150.1Not measuredOnly Kimi K2.7 Code measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Kimi K2.7 Code and Nemotron 3.5 Lightning
BenchmarkKimi K2.7 CodeNemotron 3.5 LightningLeader
AA Agentic Index21.03.5Kimi K2.7 Code
Design Arena: agents building web apps1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building full-stack apps1175Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building mobile apps1143Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Android apps1143Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Godot games1147Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building games1131Not measuredOnly Kimi K2.7 Code measured
Design Arena: HTML slides1201Not measuredOnly Kimi K2.7 Code measured
Design Arena: PowerPoint slides1154Not measuredOnly Kimi K2.7 Code measured
Finance Agent (Vals AI)Not measured18.5%Only Nemotron 3.5 Lightning measured
Tax Agent Bench (Vals AI)Not measured2.6%Only Nemotron 3.5 Lightning measured
Legal Research Bench (Vals AI)Not measured2.9%Only Nemotron 3.5 Lightning measured
Excel Modeling Benchmark (Vals AI)Not measured17.0%Only Nemotron 3.5 Lightning measured
τ²-Bench Telecom90.1%Not measuredOnly Kimi K2.7 Code measured
APEX-Agents37.6%Not measuredOnly Kimi K2.7 Code measured
Vending-Bench 2$5,083Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Kimi K2.7 Code and Nemotron 3.5 Lightning
BenchmarkKimi K2.7 CodeNemotron 3.5 LightningLeader
GPQA Diamond (Artificial Analysis run)89.6%74.3%Kimi K2.7 Code
Humanity's Last Exam (Artificial Analysis run)35.0%10.6%Kimi K2.7 Code
GPQA Diamond (Epoch AI run)87.9%Not measuredOnly Kimi K2.7 Code measured
SimpleBench57.9%Not measuredOnly Kimi K2.7 Code measured
Chess puzzles14.0%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Kimi K2.7 Code and Nemotron 3.5 Lightning
BenchmarkKimi K2.7 CodeNemotron 3.5 LightningLeader
OTIS Mock AIME95.6%Not measuredOnly Kimi K2.7 Code measured
FrontierMath, tiers 1 to 354.0%Not measuredOnly Kimi K2.7 Code measured
FrontierMath, tier 412.2%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Knowledge benchmarks for Kimi K2.7 Code and Nemotron 3.5 Lightning
BenchmarkKimi K2.7 CodeNemotron 3.5 LightningLeader
CorpFin (Vals AI)Not measured54.2%Only Nemotron 3.5 Lightning measured
SimpleQA Verified36.5%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 15 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Kimi K2.7 Code and Nemotron 3.5 Lightning
BenchmarkKimi K2.7 CodeNemotron 3.5 LightningLeader
Design Arena: websites1264Not measuredOnly Kimi K2.7 Code measured
Design Arena: UI components1259Not measuredOnly Kimi K2.7 Code measured
Design Arena: game dev1220Not measuredOnly Kimi K2.7 Code measured
Design Arena: data viz1227Not measuredOnly Kimi K2.7 Code measured
Design Arena: 3D1241Not measuredOnly Kimi K2.7 Code measured
Design Arena: all code categories1253Not measuredOnly Kimi K2.7 Code measured
Design Arena: SVG1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: ASCII art1196Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Kimi K2.7 Code and Nemotron 3.5 Lightning
BenchmarkKimi K2.7 CodeNemotron 3.5 LightningLeader
MedScribe (Vals AI)Not measured4.3%Only Nemotron 3.5 Lightning measured
IFBench63.1%Not measuredOnly Kimi K2.7 Code measured
Long context reasoning (AA-LCR)79.3%60.3%Kimi K2.7 Code
Surface Evolver Bench48.8%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 42 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2.7 Code and Nemotron 3.5 Lightning
BenchmarkKimi K2.7 CodeNemotron 3.5 LightningLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Kimi K2.7 Code$0.0029Fits in one request
Nemotron 3.5 Lightning$0.0001Fits in one request

Nemotron 3.5 Lightning costs less

Repository review

50K input + 3K output tokens

Kimi K2.7 Code$0.059Fits in one request
Nemotron 3.5 Lightning$0.0031Fits in one request

Nemotron 3.5 Lightning costs less

Agent loop

200K input + 10K output tokens

Kimi K2.7 Code$0.230Fits in one request
Nemotron 3.5 Lightning$0.012Fits in one request

Nemotron 3.5 Lightning costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Kimi K2.7 Code and Nemotron 3.5 Lightning
SpecificationMoonshotAI Kimi K2.7 CodeNVIDIA Nemotron 3.5 Lightning
MakerMoonshot AINVIDIA
WeightsOpen weightsOpen weights
ReleasedJune 12, 2026August 11, 2026
Context window262K262K
Input $/Mtok$0.95$0.0534
Output $/Mtok$4.00$0.147
Coding index53.422.6
Independent measurements behind it42
Cost per solved task$0.35$0.06
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.7 Code better than Nemotron 3.5 Lightning for coding?

Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 22.6 for Nemotron 3.5 Lightning. Pick Nemotron 3.5 Lightning when output tokens cost 27.2x less, or when a solved task costs $0.06 against $0.35.

Which is cheaper, Kimi K2.7 Code or Nemotron 3.5 Lightning?

Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; Nemotron 3.5 Lightning costs $0.0534 and $0.147. Per solved SWE-bench Verified task, Kimi K2.7 Code costs $0.35 and Nemotron 3.5 Lightning $0.06.

Which has the bigger context window, Kimi K2.7 Code or Nemotron 3.5 Lightning?

Neither: both take 262K tokens.

How many benchmarks is the Kimi K2.7 Code vs Nemotron 3.5 Lightning comparison based on?

13 benchmarks have a result for both models as of October 21, 2026. Kimi K2.7 Code's coding index rests on 4 independent benchmarks and Nemotron 3.5 Lightning's on 2. Where only one model has a result, the page says so instead of naming a winner.

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