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R1 0528 vs Kimi K2 0711

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

Replace R1 0528 Replace Kimi K2 0711
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
17
Kimi K2 0711Moonshot AI
Coding
64.7
Overall
12.7
Output $/M
$2.30
3
vs boards won of 21 shared, 1 tied

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 64.7 for Kimi K2 0711, though on 1 benchmark against 2.

Pick Kimi K2 0711 when what matters is τ²-Bench Telecom or IFBench, where it leads.

Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel BKimi K2 0711Moonshot AI64.7/1002 independent benchmarksNo cost per solved task
Shared results
21
R1 0528 only
38
Kimi K2 0711 only
15
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
R1 0528 71.4 from 1 benchmark, Kimi K2 0711 64.7 from 2 benchmarks.
Widest category
Agentic work, 24.6 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: R1 0528 36.5% against Kimi K2 0711 61.1%, 24.6 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against Kimi K2 0711 $2.30 per million output tokens, 1.1x apart.
Context window
R1 0528 takes 164K tokens, Kimi K2 0711 131K.

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
CategoryR1 0528BarsKimi K2 0711Ties
Coding301 tie
Intelligence10
Agentic work01
Reasoning30
Math20
Knowledge10
Web design50
General22
All shared boards1731 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
Coding benchmarks for R1 0528 and Kimi K2 0711
BenchmarkR1 0528Kimi K2 0711Leader
Aider polyglot71.4%59.1%R1 0528
SWE-bench VerifiedNot measured71.2%Only Kimi K2 0711 measured
LiveCodeBench (Vals AI)Not measured70.5%Only Kimi K2 0711 measured
LiveCodeBench (Artificial Analysis run)77.0%55.6%R1 0528
Terminal-Bench Hard (Artificial Analysis run)15.9%15.9%Tie
Terminal-BenchNot measured27.8%Only Kimi K2 0711 measured
GSO-BenchNot measured4.9%Only Kimi K2 0711 measured
WeirdML41.6%39.4%R1 0528
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding1427Not measuredOnly R1 0528 measured
LMArena Text: software and IT1435Not measuredOnly R1 0528 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for R1 0528 and Kimi K2 0711
BenchmarkR1 0528Kimi K2 0711Leader
AA Intelligence Index13.112.7R1 0528
Epoch Capabilities IndexNot measured140.0Only Kimi K2 0711 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for R1 0528 and Kimi K2 0711
BenchmarkR1 0528Kimi K2 0711Leader
τ²-Bench Telecom36.5%61.1%Kimi K2 0711
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for R1 0528 and Kimi K2 0711
BenchmarkR1 0528Kimi K2 0711Leader
GPQA DiamondNot measured71.5%Only Kimi K2 0711 measured
GPQA Diamond (Artificial Analysis run)81.3%76.6%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%7.4%R1 0528
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%26.3%R1 0528
LMArena Text: hard prompts1415Not measuredOnly R1 0528 measured
LMArena Text: expert1394Not measuredOnly R1 0528 measured
LMArena Text: hard prompts in English1422Not measuredOnly R1 0528 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for R1 0528 and Kimi K2 0711
BenchmarkR1 0528Kimi K2 0711Leader
AIMENot measured62.7%Only Kimi K2 0711 measured
MATH 500 (Vals AI)Not measured94.2%Only Kimi K2 0711 measured
MGSM (Vals AI)Not measured91.0%Only Kimi K2 0711 measured
AA Math Index76.057.0R1 0528
AIME 2025 (Artificial Analysis run)76.0%57.0%R1 0528
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math1400Not measuredOnly R1 0528 measured
LMArena Text: mathematical work1415Not measuredOnly R1 0528 measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for R1 0528 and Kimi K2 0711
BenchmarkR1 0528Kimi K2 0711Leader
MMLU ProNot measured79.4%Only Kimi K2 0711 measured
LegalBench (Vals AI)Not measured81.5%Only Kimi K2 0711 measured
CorpFin (Vals AI)Not measured50.4%Only Kimi K2 0711 measured
TaxEval (Vals AI)Not measured70.2%Only Kimi K2 0711 measured
MedQA (Vals AI)Not measured84.0%Only Kimi K2 0711 measured
MMLU Pro (Artificial Analysis run)84.9%82.4%R1 0528
LMArena Text: science1430Not measuredOnly R1 0528 measured
LMArena Text: medicine and healthcare1445Not measuredOnly R1 0528 measured
LMArena Text: legal and government1419Not measuredOnly R1 0528 measured
LMArena Text: business and finance1402Not measuredOnly R1 0528 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for R1 0528 and Kimi K2 0711
BenchmarkR1 0528Kimi K2 0711Leader
Design Arena: websites11491050R1 0528
Design Arena: UI components11021030R1 0528
Design Arena: game dev1098974R1 0528
Design Arena: data viz11821018R1 0528
Design Arena: 3D1111Not measuredOnly R1 0528 measured
Design Arena: all code categories11391034R1 0528
Design Arena: SVG1038Not measuredOnly R1 0528 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index22
General benchmarks for R1 0528 and Kimi K2 0711
BenchmarkR1 0528Kimi K2 0711Leader
IFBench39.6%41.5%Kimi K2 0711
Long context reasoning (AA-LCR)55.7%53.0%R1 0528
Fiction.LiveBench75.0%61.1%R1 0528
Creative writing (Lech Mazur)81.9%85.6%Kimi K2 0711
CL-benchNot measured11.9%Only Kimi K2 0711 measured
LMArena Text1428Not measuredOnly R1 0528 measured
LMArena Text: instruction following1382Not measuredOnly R1 0528 measured
LMArena Text: creative writing1405Not measuredOnly R1 0528 measured
LMArena Text: English1437Not measuredOnly R1 0528 measured
LMArena Text: non-English1412Not measuredOnly R1 0528 measured
LMArena Text: Chinese1442Not measuredOnly R1 0528 measured
LMArena Text: German1404Not measuredOnly R1 0528 measured
LMArena Text: Japanese1391Not measuredOnly R1 0528 measured
LMArena Text: Korean1360Not measuredOnly R1 0528 measured
LMArena Text: French1417Not measuredOnly R1 0528 measured
LMArena Text: Spanish1411Not measuredOnly R1 0528 measured
LMArena Text: Russian1423Not measuredOnly R1 0528 measured
LMArena Text: Polish1428Not measuredOnly R1 0528 measured
LMArena Text: multi-turn1405Not measuredOnly R1 0528 measured
LMArena Text: longer queries1391Not measuredOnly R1 0528 measured
LMArena Text: writing and language1402Not measuredOnly R1 0528 measured
LMArena Text: entertainment and media1400Not measuredOnly R1 0528 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 R1 0528 and Kimi K2 0711
BenchmarkR1 0528Kimi K2 0711Leader
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

R1 0528$0.0016Fits in one request
Kimi K2 0711$0.0017Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
Kimi K2 0711$0.035Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
Kimi K2 0711$0.137Exceeds the context window

R1 0528 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 R1 0528 and Kimi K2 0711
SpecificationDeepSeek R1 0528MoonshotAI Kimi K2 0711
MakerDeepSeekMoonshot AI
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025July 11, 2025
Context window164K131K
Input $/Mtok$0.50$0.57
Output $/Mtok$2.15$2.30
Coding index71.464.7
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Kimi K2 0711 for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 64.7 for Kimi K2 0711, though on 1 benchmark against 2. Pick Kimi K2 0711 when what matters is τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, R1 0528 or Kimi K2 0711?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or Kimi K2 0711?

R1 0528, with 164K tokens against 131K.

How many benchmarks is the R1 0528 vs Kimi K2 0711 comparison based on?

21 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and Kimi K2 0711's on 2. Where only one model has a result, the page says so instead of naming a winner.

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