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Grok 4.5 vs Kimi K2.7 Code

Updated October 21, 2026. 48 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Grok 4.5xAI
Coding
75.5
Overall
38.8
Output $/M
$6.00
44
Kimi K2.7 CodeMoonshot AI
Coding
39.1
Overall
25.8
Output $/M
$3.35
2
vs boards won of 48 shared, 2 tied

Decision reading

Pick Grok 4.5 for coding: it scores 75.5 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code.

Pick Kimi K2.7 Code when output tokens cost 1.8x less, or when a solved task costs $0.35 against $0.62.

Shared results
48
Grok 4.5 only
72
Kimi K2.7 Code only
3
Like-for-like categories
8 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
Grok 4.5 75.5 from 2 benchmarks, Kimi K2.7 Code 39.1 from 1 benchmark.
Widest category
General, 12.8 points apart on average over 2 shared benchmarks.
Widest single gap
Surface Evolver Bench: Grok 4.5 74.4% against Kimi K2.7 Code 48.8%, 25.6 points apart on a 0 to 100 scale.
Output price
Grok 4.5 $6.00 against Kimi K2.7 Code $3.35 per million output tokens, 1.8x apart.
Context window
Grok 4.5 takes 500K tokens, Kimi K2.7 Code 262K.

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
CategoryGrok 4.5BarsKimi K2.7 CodeTies
Coding1411 tie
Intelligence20
Agentic work101
Reasoning50
Math30
Knowledge10
Web design80
General101 tie
All shared boards4422 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index141
Coding benchmarks for Grok 4.5 and Kimi K2.7 Code
BenchmarkGrok 4.5Kimi K2.7 CodeLeader
LiveBench coding94.3%Not measuredOnly Grok 4.5 measured
LMArena WebDev15531474Grok 4.5
AA Coding Index72.460.8Grok 4.5
LiveCodeBench (Vals AI)87.3%82.0%Grok 4.5
SWE-bench Verified (Vals AI)86.6%78.2%Grok 4.5
Terminal-Bench 4 (Vals AI)8.6%Not measuredOnly Grok 4.5 measured
Vibe Code Bench (Vals AI)69.0%47.2%Grok 4.5
Code migration (Vals AI)36.6%25.4%Grok 4.5
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)40.6%Not measuredOnly Grok 4.5 measured
Terminal-Bench 2.1 (Vals AI)67.8%67.0%Grok 4.5
SkillsBench (Vals AI)66.0%50.0%Grok 4.5
CyberBench (Vals AI)71.0%Not measuredOnly Grok 4.5 measured
SciCode55.0%47.8%Grok 4.5
Terminal-Bench Hard (Artificial Analysis run)Not measured44.7%Only Kimi K2.7 Code measured
FrontierCode42.4%30.1%Grok 4.5
WeirdML46.4%54.1%Kimi K2.7 Code
ALE-Bench1309.3886.2Grok 4.5
LMArena Text: coding1474Not measuredOnly Grok 4.5 measured
LMArena Text: software and IT1471Not measuredOnly Grok 4.5 measured
LMArena WebDev: React15561475Grok 4.5
LMArena WebDev: HTML15671451Grok 4.5
LMArena WebDev: from an image15621513Grok 4.5
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Grok 4.5 and Kimi K2.7 Code
BenchmarkGrok 4.5Kimi K2.7 CodeLeader
AA Intelligence Index38.825.8Grok 4.5
Epoch Capabilities Index154.1150.1Grok 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index101
Agentic work benchmarks for Grok 4.5 and Kimi K2.7 Code
BenchmarkGrok 4.5Kimi K2.7 CodeLeader
AA Agentic Index41.221.0Grok 4.5
Design Arena: agents building web apps12171176Grok 4.5
Design Arena: agents building full-stack apps12491175Grok 4.5
Design Arena: agents building mobile apps12211143Grok 4.5
Design Arena: agents building Android apps12421143Grok 4.5
Design Arena: agents building Godot games12291147Grok 4.5
Design Arena: agents building games12351130Grok 4.5
Design Arena: HTML slides12041201Grok 4.5
Design Arena: PowerPoint slides12321154Grok 4.5
LiveBench research85.9%Not measuredOnly Grok 4.5 measured
LiveBench browser44.0%Not measuredOnly Grok 4.5 measured
LiveBench long agentic27.9%Not measuredOnly Grok 4.5 measured
SREBench (Vals AI)0.8%Not measuredOnly Grok 4.5 measured
Finance Agent (Vals AI)48.4%Not measuredOnly Grok 4.5 measured
Tax Agent Bench (Vals AI)24.9%Not measuredOnly Grok 4.5 measured
Legal Research Bench (Vals AI)38.0%Not measuredOnly Grok 4.5 measured
Excel Modeling Benchmark (Vals AI)52.9%Not measuredOnly Grok 4.5 measured
Time Horizon Index (Vals AI)6.3%Not measuredOnly Grok 4.5 measured
τ²-Bench TelecomNot measured90.1%Only Kimi K2.7 Code measured
APEX-Agents56.2%37.6%Grok 4.5
PostTrainBench23.4%Not measuredOnly Grok 4.5 measured
Vending-Bench 2$3,887$5,083Kimi K2.7 Code
LMArena Search1216Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Grok 4.5 and Kimi K2.7 Code
BenchmarkGrok 4.5Kimi K2.7 CodeLeader
GPQA Diamond92.9%Not measuredOnly Grok 4.5 measured
LiveBench reasoning87.2%Not measuredOnly Grok 4.5 measured
MMMU Pro (Vals AI)61.8%Not measuredOnly Grok 4.5 measured
GPQA Diamond (Artificial Analysis run)93.1%89.6%Grok 4.5
Humanity's Last Exam (Artificial Analysis run)42.7%35.0%Grok 4.5
GPQA Diamond (Epoch AI run)93.4%87.9%Grok 4.5
ARC-AGI87.2%Not measuredOnly Grok 4.5 measured
ARC-AGI-252.6%Not measuredOnly Grok 4.5 measured
SimpleBench70.0%57.9%Grok 4.5
Chess puzzles35.0%14.0%Grok 4.5
LMArena Text: hard prompts1462Not measuredOnly Grok 4.5 measured
LMArena Text: expert1465Not measuredOnly Grok 4.5 measured
LMArena Text: hard prompts in English1464Not measuredOnly Grok 4.5 measured
LMArena Vision: diagrams1304Not measuredOnly Grok 4.5 measured
LMArena Vision: homework1295Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Grok 4.5 and Kimi K2.7 Code
BenchmarkGrok 4.5Kimi K2.7 CodeLeader
OTIS Mock AIME97.8%95.6%Grok 4.5
FrontierMath, tiers 1 to 357.2%54.0%Grok 4.5
FrontierMath, tier 424.4%12.2%Grok 4.5
ProofBench31.0%Not measuredOnly Grok 4.5 measured
LMArena Text: math1460Not measuredOnly Grok 4.5 measured
LMArena Text: mathematical work1482Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Grok 4.5 and Kimi K2.7 Code
BenchmarkGrok 4.5Kimi K2.7 CodeLeader
MMLU Pro89.2%Not measuredOnly Grok 4.5 measured
LegalBench (Vals AI)86.0%Not measuredOnly Grok 4.5 measured
CorpFin (Vals AI)67.4%Not measuredOnly Grok 4.5 measured
TaxEval (Vals AI)71.7%Not measuredOnly Grok 4.5 measured
MortgageTax (Vals AI)61.8%Not measuredOnly Grok 4.5 measured
MedCode (Vals AI)43.3%Not measuredOnly Grok 4.5 measured
SimpleQA Verified48.3%36.5%Grok 4.5
LMArena Text: science1464Not measuredOnly Grok 4.5 measured
LMArena Text: medicine and healthcare1440Not measuredOnly Grok 4.5 measured
LMArena Text: legal and government1463Not measuredOnly Grok 4.5 measured
LMArena Text: business and finance1441Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Grok 4.5 and Kimi K2.7 Code
BenchmarkGrok 4.5Kimi K2.7 CodeLeader
Design Arena: websites12811264Grok 4.5
Design Arena: UI components12791259Grok 4.5
Design Arena: game dev12631220Grok 4.5
Design Arena: data viz12671226Grok 4.5
Design Arena: 3D12571241Grok 4.5
Design Arena: all code categories12761253Grok 4.5
Design Arena: SVG12151176Grok 4.5
Design Arena: ASCII art12571196Grok 4.5
LiveBench design78.1%Not measuredOnly Grok 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Grok 4.5 and Kimi K2.7 Code
BenchmarkGrok 4.5Kimi K2.7 CodeLeader
LiveBench data analysis73.0%Not measuredOnly Grok 4.5 measured
SAGE (Vals AI)35.0%Not measuredOnly Grok 4.5 measured
MedScribe (Vals AI)86.9%Not measuredOnly Grok 4.5 measured
Vals Multimodal Index63.4%Not measuredOnly Grok 4.5 measured
IFBenchNot measured63.1%Only Kimi K2.7 Code measured
Long context reasoning (AA-LCR)79.3%79.3%Tie
DTBench96.5%Not measuredOnly Grok 4.5 measured
LMCA45.2%Not measuredOnly Grok 4.5 measured
Surface Evolver Bench74.4%48.8%Grok 4.5
Furniture assembly22.5%Not measuredOnly Grok 4.5 measured
LMArena Text1448Not measuredOnly Grok 4.5 measured
LMArena Text: instruction following1445Not measuredOnly Grok 4.5 measured
LMArena Text: creative writing1442Not measuredOnly Grok 4.5 measured
LMArena Vision1287Not measuredOnly Grok 4.5 measured
LMArena Text: English1453Not measuredOnly Grok 4.5 measured
LMArena Text: non-English1440Not measuredOnly Grok 4.5 measured
LMArena Text: Chinese1495Not measuredOnly Grok 4.5 measured
LMArena Text: German1448Not measuredOnly Grok 4.5 measured
LMArena Text: Japanese1430Not measuredOnly Grok 4.5 measured
LMArena Text: Korean1406Not measuredOnly Grok 4.5 measured
LMArena Text: French1457Not measuredOnly Grok 4.5 measured
LMArena Text: Spanish1451Not measuredOnly Grok 4.5 measured
LMArena Text: Russian1449Not measuredOnly Grok 4.5 measured
LMArena Text: Polish1432Not measuredOnly Grok 4.5 measured
LMArena Text: multi-turn1456Not measuredOnly Grok 4.5 measured
LMArena Text: longer queries1462Not measuredOnly Grok 4.5 measured
LMArena Text: writing and language1445Not measuredOnly Grok 4.5 measured
LMArena Text: entertainment and media1434Not measuredOnly Grok 4.5 measured
LMArena Vision: English1285Not measuredOnly Grok 4.5 measured
LMArena Vision: Chinese1345Not measuredOnly Grok 4.5 measured
LMArena Vision: reading text1293Not measuredOnly Grok 4.5 measured
LMArena Vision: humor1276Not measuredOnly Grok 4.5 measured
LMArena Vision: creative writing1293Not measuredOnly Grok 4.5 measured
LMArena Document1452Not measuredOnly Grok 4.5 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.5 and Kimi K2.7 Code
BenchmarkGrok 4.5Kimi K2.7 CodeLeader
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

Grok 4.5$0.0050Fits in one request
Kimi K2.7 Code$0.0023Fits in one request

Kimi K2.7 Code costs less

Repository review

50K input + 3K output tokens

Grok 4.5$0.118Fits in one request
Kimi K2.7 Code$0.044Fits in one request

Kimi K2.7 Code costs less

Agent loop

200K input + 10K output tokens

Grok 4.5$0.460Fits in one request
Kimi K2.7 Code$0.168Fits in one request

Kimi K2.7 Code 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 Grok 4.5 and Kimi K2.7 Code
SpecificationSpaceXAI Grok 4.5MoonshotAI Kimi K2.7 Code
MakerxAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedJuly 8, 2026June 12, 2026
Context window500K262K
Input $/Mtok$2.00$0.6712
Output $/Mtok$6.00$3.35
Coding index75.539.1
Independent measurements behind it21
Cost per solved task$0.62$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.5 better than Kimi K2.7 Code for coding?

Pick Grok 4.5 for coding: it scores 75.5 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code. Pick Kimi K2.7 Code when output tokens cost 1.8x less, or when a solved task costs $0.35 against $0.62.

Which is cheaper, Grok 4.5 or Kimi K2.7 Code?

Grok 4.5 costs $2.00 per million input tokens and $6.00 per million output tokens; Kimi K2.7 Code costs $0.6712 and $3.35. Per solved SWE-bench Verified task, Grok 4.5 costs $0.62 and Kimi K2.7 Code $0.35.

Which has the bigger context window, Grok 4.5 or Kimi K2.7 Code?

Grok 4.5, with 500K tokens against 262K.

How many benchmarks is the Grok 4.5 vs Kimi K2.7 Code comparison based on?

48 benchmarks have a result for both models as of October 21, 2026. Grok 4.5's coding index rests on 2 independent benchmarks and Kimi K2.7 Code's on 1. Where only one model has a result, the page says so instead of naming a winner.

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