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Kimi K2 0711 vs Step 3.5 Flash

Updated October 21, 2026. 7 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Kimi K2 0711Moonshot AI
Coding
No data
Overall
12.7
Output $/M
$2.30
0
Step 3.5 FlashStepFun
Coding
No data
Overall
17.0
Output $/M
$0.30
7
vs boards won of 7 shared

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Kimi K2 0711 has the edge where what matters is Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Shared results
7
Kimi K2 0711 only
29
Step 3.5 Flash only
28
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 0711 not benchmarked, Step 3.5 Flash not benchmarked.
Widest category
Agentic work, 33.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Kimi K2 0711 61.1% against Step 3.5 Flash 94.4%, 33.3 points apart on a 0 to 100 scale.
Output price
Kimi K2 0711 $2.30 against Step 3.5 Flash $0.30 per million output tokens, 7.7x apart.
Context window
Kimi K2 0711 takes 131K tokens, Step 3.5 Flash 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 K2 0711BarsStep 3.5 FlashTies
Coding01
Intelligence01
Agentic work01
Reasoning02
General02
All shared boards07
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Kimi K2 0711 and Step 3.5 Flash
BenchmarkKimi K2 0711Step 3.5 FlashLeader
Aider polyglot59.1%Not measuredOnly Kimi K2 0711 measured
SWE-bench Verified71.2%Not measuredOnly Kimi K2 0711 measured
LiveCodeBench (Vals AI)70.5%Not measuredOnly Kimi K2 0711 measured
LiveCodeBench (Artificial Analysis run)55.6%Not measuredOnly Kimi K2 0711 measured
Terminal-Bench Hard (Artificial Analysis run)15.9%32.6%Step 3.5 Flash
Terminal-Bench27.8%Not measuredOnly Kimi K2 0711 measured
GSO-Bench4.9%Not measuredOnly Kimi K2 0711 measured
WeirdML39.4%Not measuredOnly Kimi K2 0711 measured
LMArena Text: codingNot measured1436Only Step 3.5 Flash measured
LMArena Text: software and ITNot measured1434Only Step 3.5 Flash measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Kimi K2 0711 and Step 3.5 Flash
BenchmarkKimi K2 0711Step 3.5 FlashLeader
AA Intelligence Index12.717.0Step 3.5 Flash
Epoch Capabilities Index140.0Not measuredOnly Kimi K2 0711 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Kimi K2 0711 and Step 3.5 Flash
BenchmarkKimi K2 0711Step 3.5 FlashLeader
τ²-Bench Telecom61.1%94.4%Step 3.5 Flash
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Kimi K2 0711 and Step 3.5 Flash
BenchmarkKimi K2 0711Step 3.5 FlashLeader
GPQA Diamond71.5%Not measuredOnly Kimi K2 0711 measured
GPQA Diamond (Artificial Analysis run)76.6%83.1%Step 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)7.4%24.5%Step 3.5 Flash
SimpleBench26.3%Not measuredOnly Kimi K2 0711 measured
LMArena Text: hard promptsNot measured1411Only Step 3.5 Flash measured
LMArena Text: expertNot measured1421Only Step 3.5 Flash measured
LMArena Text: hard prompts in EnglishNot measured1421Only Step 3.5 Flash measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Kimi K2 0711 and Step 3.5 Flash
BenchmarkKimi K2 0711Step 3.5 FlashLeader
AIME62.7%Not measuredOnly Kimi K2 0711 measured
MATH 500 (Vals AI)94.2%Not measuredOnly Kimi K2 0711 measured
MGSM (Vals AI)91.0%Not measuredOnly Kimi K2 0711 measured
AA Math Index57.0Not measuredOnly Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)57.0%Not measuredOnly Kimi K2 0711 measured
LMArena Text: mathNot measured1408Only Step 3.5 Flash measured
LMArena Text: mathematical workNot measured1421Only Step 3.5 Flash measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for Kimi K2 0711 and Step 3.5 Flash
BenchmarkKimi K2 0711Step 3.5 FlashLeader
MMLU Pro79.4%Not measuredOnly Kimi K2 0711 measured
LegalBench (Vals AI)81.5%Not measuredOnly Kimi K2 0711 measured
CorpFin (Vals AI)50.4%Not measuredOnly Kimi K2 0711 measured
TaxEval (Vals AI)70.2%Not measuredOnly Kimi K2 0711 measured
MedQA (Vals AI)84.0%Not measuredOnly Kimi K2 0711 measured
MMLU Pro (Artificial Analysis run)82.4%Not measuredOnly Kimi K2 0711 measured
LMArena Text: scienceNot measured1415Only Step 3.5 Flash measured
LMArena Text: medicine and healthcareNot measured1408Only Step 3.5 Flash measured
LMArena Text: legal and governmentNot measured1408Only Step 3.5 Flash measured
LMArena Text: business and financeNot measured1394Only Step 3.5 Flash measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Kimi K2 0711 and Step 3.5 Flash
BenchmarkKimi K2 0711Step 3.5 FlashLeader
Design Arena: websites1050Not measuredOnly Kimi K2 0711 measured
Design Arena: UI components1030Not measuredOnly Kimi K2 0711 measured
Design Arena: game dev974Not measuredOnly Kimi K2 0711 measured
Design Arena: data viz1018Not measuredOnly Kimi K2 0711 measured
Design Arena: all code categories1033Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Kimi K2 0711 and Step 3.5 Flash
BenchmarkKimi K2 0711Step 3.5 FlashLeader
IFBench41.5%66.5%Step 3.5 Flash
Long context reasoning (AA-LCR)53.0%63.0%Step 3.5 Flash
Fiction.LiveBench61.1%Not measuredOnly Kimi K2 0711 measured
Creative writing (Lech Mazur)85.6%Not measuredOnly Kimi K2 0711 measured
CL-bench11.9%Not measuredOnly Kimi K2 0711 measured
LMArena TextNot measured1403Only Step 3.5 Flash measured
LMArena Text: instruction followingNot measured1385Only Step 3.5 Flash measured
LMArena Text: creative writingNot measured1357Only Step 3.5 Flash measured
LMArena Text: EnglishNot measured1417Only Step 3.5 Flash measured
LMArena Text: non-EnglishNot measured1385Only Step 3.5 Flash measured
LMArena Text: ChineseNot measured1446Only Step 3.5 Flash measured
LMArena Text: GermanNot measured1405Only Step 3.5 Flash measured
LMArena Text: JapaneseNot measured1353Only Step 3.5 Flash measured
LMArena Text: KoreanNot measured1351Only Step 3.5 Flash measured
LMArena Text: FrenchNot measured1421Only Step 3.5 Flash measured
LMArena Text: SpanishNot measured1419Only Step 3.5 Flash measured
LMArena Text: RussianNot measured1385Only Step 3.5 Flash measured
LMArena Text: PolishNot measured1389Only Step 3.5 Flash measured
LMArena Text: multi-turnNot measured1404Only Step 3.5 Flash measured
LMArena Text: longer queriesNot measured1402Only Step 3.5 Flash measured
LMArena Text: writing and languageNot measured1372Only Step 3.5 Flash measured
LMArena Text: entertainment and mediaNot measured1360Only Step 3.5 Flash measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2 0711 and Step 3.5 Flash
BenchmarkKimi K2 0711Step 3.5 FlashLeader
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 0711$0.0017Fits in one request
Step 3.5 Flash$0.0003Fits in one request

Step 3.5 Flash costs less

Repository review

50K input + 3K output tokens

Kimi K2 0711$0.035Fits in one request
Step 3.5 Flash$0.0059Fits in one request

Step 3.5 Flash costs less

Agent loop

200K input + 10K output tokens

Kimi K2 0711$0.137Exceeds the context window
Step 3.5 Flash$0.023Fits in one request

Step 3.5 Flash 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 0711 and Step 3.5 Flash
SpecificationMoonshotAI Kimi K2 0711StepFun Step 3.5 Flash
MakerMoonshot AIStepFun
WeightsOpen weightsOpen weights
ReleasedJuly 11, 2025January 29, 2026
Context window131K262K
Input $/Mtok$0.57$0.10
Output $/Mtok$2.30$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 0711 better than Step 3.5 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Kimi K2 0711 has the edge where what matters is Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Which is cheaper, Kimi K2 0711 or Step 3.5 Flash?

Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens; Step 3.5 Flash costs $0.10 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Kimi K2 0711 or Step 3.5 Flash?

Step 3.5 Flash, with 262K tokens against 131K.

How many benchmarks is the Kimi K2 0711 vs Step 3.5 Flash comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Kimi K2 0711's coding index rests on 0 independent benchmarks and Step 3.5 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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