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Kimi K2 0711 vs Hy3

Hy3 costs 7.0x less per output token than Kimi K2 0711 ($0.33 vs $2.30 per million). Updated October 21, 2026; 8 benchmarks have a result for both.

Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
0
Hy3Tencent
Coding
No data
Overall
No data
Output $/M
$0.33
8
vs boards won of 8 shared

Kimi K2 0711 or Hy3: which to pick

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

Pick Kimi K2 0711 for work measured by GPQA Diamond (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.

Shared results
8
Kimi K2 0711 only
29
Hy3 only
36
Like-for-like categories
3 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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, Hy3 not benchmarked.
Widest category
General, 26.0 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: game dev: Kimi K2 0711 974 against Hy3 1208, 29.3 points apart on a 0 to 100 scale.
Output price
Kimi K2 0711 $2.30 against Hy3 $0.33 per million output tokens, 7.0x apart.
Context window
Kimi K2 0711 takes 131K tokens, Hy3 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 0711BarsHy3Ties
Reasoning02
Web design05
General01
All shared boards08
CodingDirectional onlySix of these boards feed the Vibe Coding Index15 boards, none shared
Coding benchmarks for Kimi K2 0711 and Hy3
BenchmarkKimi K2 0711Hy3Leader
Aider polyglot59.1%Not measuredOnly Kimi K2 0711 measured
SWE-bench Verified71.2%Not measuredOnly Kimi K2 0711 measured
LMArena WebDevNot measured1507Only Hy3 measured
LiveCodeBench (Vals AI)70.5%Not measuredOnly Kimi K2 0711 measured
LiveCodeBench (Artificial Analysis run)55.6%Not measuredOnly Kimi K2 0711 measured
SciCodeNot measured48.6%Only Hy3 measured
Terminal-Bench Hard (Artificial Analysis run)15.9%Not measuredOnly Kimi K2 0711 measured
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
ALE-BenchNot measured838.6Only Hy3 measured
LMArena Text: codingNot measured1466Only Hy3 measured
LMArena Text: software and ITNot measured1463Only Hy3 measured
LMArena WebDev: ReactNot measured1511Only Hy3 measured
LMArena WebDev: HTMLNot measured1487Only Hy3 measured
Neither model has a result on the other 24 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Kimi K2 0711 and Hy3
BenchmarkKimi K2 0711Hy3Leader
AA Intelligence Index12.7Not measuredOnly Kimi K2 0711 measured
Epoch Capabilities Index140.0Not measuredOnly Kimi K2 0711 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Kimi K2 0711 and Hy3
BenchmarkKimi K2 0711Hy3Leader
τ²-Bench Telecom61.1%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Kimi K2 0711 and Hy3
BenchmarkKimi K2 0711Hy3Leader
GPQA Diamond71.5%Not measuredOnly Kimi K2 0711 measured
GPQA Diamond (Artificial Analysis run)76.6%89.7%Hy3
Humanity's Last Exam (Artificial Analysis run)7.4%33.5%Hy3
SimpleBench26.3%Not measuredOnly Kimi K2 0711 measured
LMArena Text: hard promptsNot measured1447Only Hy3 measured
LMArena Text: expertNot measured1461Only Hy3 measured
LMArena Text: hard prompts in EnglishNot measured1455Only Hy3 measured
Kagi LLM Benchmark64.4%Not measuredOnly Kimi K2 0711 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 Hy3
BenchmarkKimi K2 0711Hy3Leader
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 measured1473Only Hy3 measured
LMArena Text: mathematical workNot measured1482Only Hy3 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 Hy3
BenchmarkKimi K2 0711Hy3Leader
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 measured1457Only Hy3 measured
LMArena Text: medicine and healthcareNot measured1452Only Hy3 measured
LMArena Text: legal and governmentNot measured1422Only Hy3 measured
LMArena Text: business and financeNot measured1424Only Hy3 measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Kimi K2 0711 and Hy3
BenchmarkKimi K2 0711Hy3Leader
Design Arena: websites10501230Hy3
Design Arena: UI components10301207Hy3
Design Arena: game dev9741208Hy3
Design Arena: data viz10181163Hy3
Design Arena: 3DNot measured1233Only Hy3 measured
Design Arena: all code categories10331227Hy3
Design Arena: SVGNot measured1200Only Hy3 measured
Design Arena: ASCII artNot measured1152Only Hy3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Kimi K2 0711 and Hy3
BenchmarkKimi K2 0711Hy3Leader
IFBench41.5%Not measuredOnly Kimi K2 0711 measured
Long context reasoning (AA-LCR)53.0%79.0%Hy3
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 measured1438Only Hy3 measured
LMArena Text: instruction followingNot measured1426Only Hy3 measured
LMArena Text: creative writingNot measured1403Only Hy3 measured
LMArena Text: EnglishNot measured1448Only Hy3 measured
LMArena Text: non-EnglishNot measured1426Only Hy3 measured
LMArena Text: ChineseNot measured1485Only Hy3 measured
LMArena Text: GermanNot measured1449Only Hy3 measured
LMArena Text: JapaneseNot measured1397Only Hy3 measured
LMArena Text: KoreanNot measured1396Only Hy3 measured
LMArena Text: FrenchNot measured1456Only Hy3 measured
LMArena Text: SpanishNot measured1457Only Hy3 measured
LMArena Text: RussianNot measured1432Only Hy3 measured
LMArena Text: PolishNot measured1447Only Hy3 measured
LMArena Text: multi-turnNot measured1436Only Hy3 measured
LMArena Text: longer queriesNot measured1442Only Hy3 measured
LMArena Text: writing and languageNot measured1414Only Hy3 measured
LMArena Text: entertainment and mediaNot measured1400Only Hy3 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 Hy3
BenchmarkKimi K2 0711Hy3Leader
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
Hy3$0.0002Fits in one request

Hy3 costs less

Repository review

50K input + 3K output tokens

Kimi K2 0711$0.035Fits in one request
Hy3$0.0051Fits in one request

Hy3 costs less

Agent loop

200K input + 10K output tokens

Kimi K2 0711$0.137Exceeds the context window
Hy3$0.020Fits in one request

Hy3 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 Hy3
SpecificationMoonshotAI Kimi K2 0711Tencent Hy3
MakerMoonshot AITencent
WeightsOpen weightsOpen weights
ReleasedJuly 11, 2025July 6, 2026
Context window131K262K
Input $/Mtok$0.57$0.0825
Output $/Mtok$2.30$0.33
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 0711 better than Hy3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Kimi K2 0711 for work measured by GPQA Diamond (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, Kimi K2 0711 or Hy3?

Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens; Hy3 costs $0.0825 and $0.33. Cost per solved task is known for neither of them.

Which has the bigger context window, Kimi K2 0711 or Hy3?

Hy3, with 262K tokens against 131K.

How many benchmarks is the Kimi K2 0711 vs Hy3 comparison based on?

8 benchmarks have a result for both models as of October 21, 2026. Kimi K2 0711's coding index rests on 0 independent benchmarks and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.

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