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Kimi K3 vs Qwen3.5-35B-A3B

Updated October 21, 2026. 42 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Kimi K3Moonshot AI
Coding
61.8
Overall
43.6
Output $/M
$11.936
42
Qwen3.5-35B-A3BQwen
Coding
7.7
Overall
19.3
Output $/M
$1.00
0
vs boards won of 42 shared

Decision reading

Pick Kimi K3 for coding: it scores 61.8 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B.

Pick Qwen3.5-35B-A3B when output tokens cost 11.9x less.

Shared results
42
Kimi K3 only
75
Qwen3.5-35B-A3B only
3
Like-for-like categories
7 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 K3 61.8 from 2 benchmarks, Qwen3.5-35B-A3B 7.7 from 1 benchmark.
Widest category
Coding, 40.2 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: Kimi K3 1670 against Qwen3.5-35B-A3B 1238, 60.3 points apart on a 0 to 100 scale.
Output price
Kimi K3 $11.936 against Qwen3.5-35B-A3B $1.00 per million output tokens, 11.9x apart.
Context window
Kimi K3 takes 1.05M tokens, Qwen3.5-35B-A3B 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
CategoryKimi K3BarsQwen3.5-35B-A3BTies
Coding60
Intelligence20
Agentic work10
Reasoning60
Math30
Knowledge40
General200
All shared boards420
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for Kimi K3 and Qwen3.5-35B-A3B
BenchmarkKimi K3Qwen3.5-35B-A3BLeader
LiveBench coding59.3%Not measuredOnly Kimi K3 measured
LMArena WebDev16551254Kimi K3
AA Coding Index76.2Not measuredOnly Kimi K3 measured
LiveCodeBench (Vals AI)87.2%Not measuredOnly Kimi K3 measured
SWE-bench Verified (Vals AI)93.4%Not measuredOnly Kimi K3 measured
Terminal-Bench 4 (Vals AI)17.2%Not measuredOnly Kimi K3 measured
Vibe Code Bench (Vals AI)85.0%Not measuredOnly Kimi K3 measured
Code migration (Vals AI)16.1%Not measuredOnly Kimi K3 measured
ProgramBench (Vals AI)2.0%Not measuredOnly Kimi K3 measured
IOI (Vals AI)48.9%Not measuredOnly Kimi K3 measured
Terminal-Bench 2.1 (Vals AI)80.9%Not measuredOnly Kimi K3 measured
SWE-bench Multimodal (Vals AI)44.2%Not measuredOnly Kimi K3 measured
Vibe Code Bench 1-100 (Vals AI)18.2%Not measuredOnly Kimi K3 measured
CyberBench (Vals AI)75.2%Not measuredOnly Kimi K3 measured
SciCode59.5%Not measuredOnly Kimi K3 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured26.5%Only Qwen3.5-35B-A3B measured
FrontierCode44.2%Not measuredOnly Kimi K3 measured
FrontierSWE25.9%Not measuredOnly Kimi K3 measured
WeirdML82.6%Not measuredOnly Kimi K3 measured
ALE-Bench1524.5221.8Kimi K3
LMArena Text: coding15081410Kimi K3
LMArena Text: software and IT14991415Kimi K3
LMArena WebDev: React16701238Kimi K3
LMArena WebDev: HTML16441301Kimi K3
LMArena WebDev: from an image1579Not measuredOnly Kimi K3 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Kimi K3 and Qwen3.5-35B-A3B
BenchmarkKimi K3Qwen3.5-35B-A3BLeader
AA Intelligence Index43.619.3Kimi K3
Epoch Capabilities Index157.9142.5Kimi K3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Kimi K3 and Qwen3.5-35B-A3B
BenchmarkKimi K3Qwen3.5-35B-A3BLeader
AA Agentic Index50.0Not measuredOnly Kimi K3 measured
Design Arena: agents building web apps1296Not measuredOnly Kimi K3 measured
Design Arena: agents building full-stack apps1315Not measuredOnly Kimi K3 measured
Design Arena: agents building mobile apps1267Not measuredOnly Kimi K3 measured
Design Arena: agents building Android apps1256Not measuredOnly Kimi K3 measured
Design Arena: agents building Godot games1223Not measuredOnly Kimi K3 measured
Design Arena: agents building games1252Not measuredOnly Kimi K3 measured
Design Arena: HTML slides1256Not measuredOnly Kimi K3 measured
Design Arena: PowerPoint slides1273Not measuredOnly Kimi K3 measured
Design Arena: spreadsheets1058Not measuredOnly Kimi K3 measured
LiveBench research79.0%Not measuredOnly Kimi K3 measured
LiveBench browser16.0%Not measuredOnly Kimi K3 measured
LiveBench long agentic42.8%Not measuredOnly Kimi K3 measured
Finance Agent (Vals AI)53.1%Not measuredOnly Kimi K3 measured
Tax Agent Bench (Vals AI)33.4%Not measuredOnly Kimi K3 measured
Legal Research Bench (Vals AI)46.1%Not measuredOnly Kimi K3 measured
Harvey's Legal Agent Benchmark (Vals AI)12.9%Not measuredOnly Kimi K3 measured
Excel Modeling Benchmark (Vals AI)66.7%Not measuredOnly Kimi K3 measured
BioMysteryBench (Vals AI)72.6%Not measuredOnly Kimi K3 measured
Terminal-Bench-Science (Vals AI)1.4%Not measuredOnly Kimi K3 measured
Time Horizon Index (Vals AI)10.5%Not measuredOnly Kimi K3 measured
τ²-Bench TelecomNot measured89.2%Only Qwen3.5-35B-A3B measured
APEX-Agents47.8%Not measuredOnly Kimi K3 measured
PostTrainBench32.0%Not measuredOnly Kimi K3 measured
Vending-Bench 2$5,165$463Kimi K3
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Kimi K3 and Qwen3.5-35B-A3B
BenchmarkKimi K3Qwen3.5-35B-A3BLeader
GPQA Diamond92.9%Not measuredOnly Kimi K3 measured
LiveBench reasoning90.7%Not measuredOnly Kimi K3 measured
MMMU Pro (Vals AI)88.2%Not measuredOnly Kimi K3 measured
GPQA Diamond (Artificial Analysis run)93.5%84.5%Kimi K3
Humanity's Last Exam (Artificial Analysis run)46.9%21.0%Kimi K3
GPQA Diamond (Epoch AI run)93.1%83.5%Kimi K3
ARC-AGI94.5%Not measuredOnly Kimi K3 measured
ARC-AGI-260.4%Not measuredOnly Kimi K3 measured
SimpleBench60.7%Not measuredOnly Kimi K3 measured
Chess puzzles37.0%Not measuredOnly Kimi K3 measured
Mystery game puzzles26.0%Not measuredOnly Kimi K3 measured
LMArena Text: hard prompts14951400Kimi K3
LMArena Text: expert15201408Kimi K3
LMArena Text: hard prompts in English14961411Kimi K3
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Kimi K3 and Qwen3.5-35B-A3B
BenchmarkKimi K3Qwen3.5-35B-A3BLeader
OTIS Mock AIME97.2%70.0%Kimi K3
FrontierMath, tiers 1 to 372.2%Not measuredOnly Kimi K3 measured
FrontierMath, tier 439.0%Not measuredOnly Kimi K3 measured
ProofBench87.0%Not measuredOnly Kimi K3 measured
LMArena Text: math14941404Kimi K3
LMArena Text: mathematical work15051410Kimi K3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Kimi K3 and Qwen3.5-35B-A3B
BenchmarkKimi K3Qwen3.5-35B-A3BLeader
MMLU Pro88.0%Not measuredOnly Kimi K3 measured
LegalBench (Vals AI)86.2%Not measuredOnly Kimi K3 measured
CorpFin (Vals AI)71.6%Not measuredOnly Kimi K3 measured
TaxEval (Vals AI)75.7%Not measuredOnly Kimi K3 measured
MortgageTax (Vals AI)66.3%Not measuredOnly Kimi K3 measured
MedCode (Vals AI)49.4%Not measuredOnly Kimi K3 measured
SimpleQA Verified50.6%Not measuredOnly Kimi K3 measured
LMArena Text: science15081413Kimi K3
LMArena Text: medicine and healthcare14891421Kimi K3
LMArena Text: legal and government15031399Kimi K3
LMArena Text: business and finance14701394Kimi K3
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Kimi K3 and Qwen3.5-35B-A3B
BenchmarkKimi K3Qwen3.5-35B-A3BLeader
Design Arena: websites1336Not measuredOnly Kimi K3 measured
Design Arena: UI components1345Not measuredOnly Kimi K3 measured
Design Arena: game dev1361Not measuredOnly Kimi K3 measured
Design Arena: data viz1350Not measuredOnly Kimi K3 measured
Design Arena: 3D1388Not measuredOnly Kimi K3 measured
Design Arena: all code categories1361Not measuredOnly Kimi K3 measured
Design Arena: SVG1301Not measuredOnly Kimi K3 measured
LiveBench design77.2%Not measuredOnly Kimi K3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
General benchmarks for Kimi K3 and Qwen3.5-35B-A3B
BenchmarkKimi K3Qwen3.5-35B-A3BLeader
Vals Index53.0%Not measuredOnly Kimi K3 measured
LiveBench data analysis78.7%Not measuredOnly Kimi K3 measured
Public Benefits Bench (Vals AI)68.2%Not measuredOnly Kimi K3 measured
SAGE (Vals AI)52.8%Not measuredOnly Kimi K3 measured
MedScribe (Vals AI)88.0%Not measuredOnly Kimi K3 measured
Vals Multimodal Index73.4%Not measuredOnly Kimi K3 measured
IFBenchNot measured72.5%Only Qwen3.5-35B-A3B measured
Long context reasoning (AA-LCR)88.7%72.0%Kimi K3
DTBench91.2%80.0%Kimi K3
LMCA52.7%29.5%Kimi K3
Surface Evolver Bench95.0%Not measuredOnly Kimi K3 measured
Furniture assembly34.2%Not measuredOnly Kimi K3 measured
LMArena Text14761395Kimi K3
LMArena Text: instruction following14851379Kimi K3
LMArena Text: creative writing14571347Kimi K3
LMArena Text: English14811407Kimi K3
LMArena Text: non-English14661378Kimi K3
LMArena Text: Chinese15291457Kimi K3
LMArena Text: German14901367Kimi K3
LMArena Text: Japanese14941326Kimi K3
LMArena Text: Korean14601355Kimi K3
LMArena Text: French14921412Kimi K3
LMArena Text: Spanish14721390Kimi K3
LMArena Text: Russian14851376Kimi K3
LMArena Text: Polish14581385Kimi K3
LMArena Text: multi-turn14891390Kimi K3
LMArena Text: longer queries14941389Kimi K3
LMArena Text: writing and language14711365Kimi K3
LMArena Text: entertainment and media14531347Kimi K3
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K3 and Qwen3.5-35B-A3B
BenchmarkKimi K3Qwen3.5-35B-A3BLeader
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 K3$0.0062Fits in one request
Qwen3.5-35B-A3B$0.0006Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

Kimi K3$0.048Fits in one request
Qwen3.5-35B-A3B$0.010Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

Kimi K3$0.167Fits in one request
Qwen3.5-35B-A3B$0.038Fits in one request

Qwen3.5-35B-A3B 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 K3 and Qwen3.5-35B-A3B
SpecificationMoonshotAI Kimi K3Qwen3.5-35B-A3B
MakerMoonshot AIQwen
WeightsOpen weightsOpen weights
ReleasedJuly 16, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$0.239$0.14
Output $/Mtok$11.936$1.00
Coding index61.87.7
Independent measurements behind it21
Cost per solved task$0.81Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K3 better than Qwen3.5-35B-A3B for coding?

Pick Kimi K3 for coding: it scores 61.8 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B. Pick Qwen3.5-35B-A3B when output tokens cost 11.9x less.

Which is cheaper, Kimi K3 or Qwen3.5-35B-A3B?

Kimi K3 costs $0.239 per million input tokens and $11.936 per million output tokens; Qwen3.5-35B-A3B costs $0.14 and $1.00. Cost per solved task is known for Kimi K3 only.

Which has the bigger context window, Kimi K3 or Qwen3.5-35B-A3B?

Kimi K3, with 1.05M tokens against 262K.

How many benchmarks is the Kimi K3 vs Qwen3.5-35B-A3B comparison based on?

42 benchmarks have a result for both models as of October 21, 2026. Kimi K3's coding index rests on 2 independent benchmarks and Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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