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Kimi K2 Thinking vs Phi 4

Updated October 21, 2026. 12 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Kimi K2 ThinkingMoonshot AI
Coding
No data
Overall
22.0
Output $/M
$2.50
12
Phi 4Microsoft
Coding
No data
Overall
5.9
Output $/M
$0.14
0
vs boards won of 12 shared

Decision reading

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

Kimi K2 Thinking has the edge where the context window is larger, 262K against 16K tokens.

Shared results
12
Kimi K2 Thinking only
18
Phi 4 only
33
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 K2 Thinking not benchmarked, Phi 4 not benchmarked.
Widest category
Agentic work, 93.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Kimi K2 Thinking 93.0% against Phi 4 0.0%, 93.0 points apart on a 0 to 100 scale.
Output price
Kimi K2 Thinking $2.50 against Phi 4 $0.14 per million output tokens, 17.9x apart.
Context window
Kimi K2 Thinking takes 262K tokens, Phi 4 16K.

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 ThinkingBarsPhi 4Ties
Coding20
Intelligence20
Agentic work10
Reasoning20
Math20
Knowledge10
General20
All shared boards120
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Kimi K2 Thinking and Phi 4
BenchmarkKimi K2 ThinkingPhi 4Leader
SWE-bench Verified63.4%Not measuredOnly Kimi K2 Thinking measured
LiveCodeBench (Vals AI)63.1%Not measuredOnly Kimi K2 Thinking measured
SWE-bench Verified (Vals AI)60.2%Not measuredOnly Kimi K2 Thinking measured
LiveCodeBench (Artificial Analysis run)85.3%23.1%Kimi K2 Thinking
Terminal-Bench Hard (Artificial Analysis run)31.1%3.8%Kimi K2 Thinking
Terminal-Bench35.7%Not measuredOnly Kimi K2 Thinking measured
WeirdML42.8%Not measuredOnly Kimi K2 Thinking measured
ALE-Bench597.5Not measuredOnly Kimi K2 Thinking measured
LMArena Text: codingNot measured1231Only Phi 4 measured
LMArena Text: software and ITNot measured1228Only Phi 4 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Kimi K2 Thinking and Phi 4
BenchmarkKimi K2 ThinkingPhi 4Leader
AA Intelligence Index22.05.9Kimi K2 Thinking
Epoch Capabilities Index145.8130.5Kimi K2 Thinking
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Kimi K2 Thinking and Phi 4
BenchmarkKimi K2 ThinkingPhi 4Leader
τ²-Bench Telecom93.0%0.0%Kimi K2 Thinking
METR time horizons59.2%Not measuredOnly Kimi K2 Thinking measured
BALROGNot measured11.6%Only Phi 4 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Kimi K2 Thinking and Phi 4
BenchmarkKimi K2 ThinkingPhi 4Leader
GPQA Diamond78.5%Not measuredOnly Kimi K2 Thinking measured
GPQA Diamond (Artificial Analysis run)83.8%57.5%Kimi K2 Thinking
Humanity's Last Exam (Artificial Analysis run)23.8%3.8%Kimi K2 Thinking
GPQA Diamond (Epoch AI run)Not measured56.1%Only Phi 4 measured
LMArena Text: hard promptsNot measured1220Only Phi 4 measured
LMArena Text: expertNot measured1203Only Phi 4 measured
LMArena Text: hard prompts in EnglishNot measured1230Only Phi 4 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Kimi K2 Thinking and Phi 4
BenchmarkKimi K2 ThinkingPhi 4Leader
AIME85.4%Not measuredOnly Kimi K2 Thinking measured
MGSM (Vals AI)90.2%Not measuredOnly Kimi K2 Thinking measured
AA Math Index94.718.0Kimi K2 Thinking
AIME 2025 (Artificial Analysis run)94.7%18.0%Kimi K2 Thinking
OTIS Mock AIMENot measured13.8%Only Phi 4 measured
MATH level 5Not measured64.9%Only Phi 4 measured
LMArena Text: mathNot measured1246Only Phi 4 measured
LMArena Text: mathematical workNot measured1254Only Phi 4 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Kimi K2 Thinking and Phi 4
BenchmarkKimi K2 ThinkingPhi 4Leader
MMLU Pro81.1%Not measuredOnly Kimi K2 Thinking measured
LegalBench (Vals AI)80.2%Not measuredOnly Kimi K2 Thinking measured
CaseLaw (Vals AI)65.7%Not measuredOnly Kimi K2 Thinking measured
CorpFin (Vals AI)60.6%Not measuredOnly Kimi K2 Thinking measured
TaxEval (Vals AI)71.7%Not measuredOnly Kimi K2 Thinking measured
MedQA (Vals AI)92.6%Not measuredOnly Kimi K2 Thinking measured
MMLU Pro (Artificial Analysis run)84.8%71.4%Kimi K2 Thinking
MMLUNot measured84.8%Only Phi 4 measured
LMArena Text: scienceNot measured1206Only Phi 4 measured
LMArena Text: medicine and healthcareNot measured1202Only Phi 4 measured
LMArena Text: legal and governmentNot measured1241Only Phi 4 measured
LMArena Text: business and financeNot measured1199Only Phi 4 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Kimi K2 Thinking and Phi 4
BenchmarkKimi K2 ThinkingPhi 4Leader
Design Arena: websites1113Not measuredOnly Kimi K2 Thinking measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Kimi K2 Thinking and Phi 4
BenchmarkKimi K2 ThinkingPhi 4Leader
IFBench68.1%23.5%Kimi K2 Thinking
Long context reasoning (AA-LCR)72.0%0.0%Kimi K2 Thinking
Creative writing (Lech Mazur)Not measured62.6%Only Phi 4 measured
CL-bench17.6%Not measuredOnly Kimi K2 Thinking measured
LMArena TextNot measured1217Only Phi 4 measured
LMArena Text: instruction followingNot measured1201Only Phi 4 measured
LMArena Text: creative writingNot measured1181Only Phi 4 measured
LMArena Text: EnglishNot measured1231Only Phi 4 measured
LMArena Text: non-EnglishNot measured1197Only Phi 4 measured
LMArena Text: ChineseNot measured1212Only Phi 4 measured
LMArena Text: GermanNot measured1222Only Phi 4 measured
LMArena Text: JapaneseNot measured1158Only Phi 4 measured
LMArena Text: KoreanNot measured1151Only Phi 4 measured
LMArena Text: FrenchNot measured1224Only Phi 4 measured
LMArena Text: SpanishNot measured1234Only Phi 4 measured
LMArena Text: RussianNot measured1209Only Phi 4 measured
LMArena Text: multi-turnNot measured1206Only Phi 4 measured
LMArena Text: longer queriesNot measured1217Only Phi 4 measured
LMArena Text: writing and languageNot measured1198Only Phi 4 measured
LMArena Text: entertainment and mediaNot measured1162Only Phi 4 measured
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2 Thinking and Phi 4
BenchmarkKimi K2 ThinkingPhi 4Leader
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 Thinking$0.0019Fits in one request
Phi 4$0.0001Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

Kimi K2 Thinking$0.037Fits in one request
Phi 4$0.0039Exceeds the context window

Phi 4 costs less

Agent loop

200K input + 10K output tokens

Kimi K2 Thinking$0.145Fits in one request
Phi 4$0.015Exceeds the context window

Phi 4 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 Thinking and Phi 4
SpecificationMoonshotAI Kimi K2 ThinkingMicrosoft Phi 4
MakerMoonshot AIMicrosoft
WeightsOpen weightsOpen weights
ReleasedNovember 6, 2025January 10, 2025
Context window262K16K
Input $/Mtok$0.60$0.07
Output $/Mtok$2.50$0.14
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.61Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 Thinking better than Phi 4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Kimi K2 Thinking has the edge where the context window is larger, 262K against 16K tokens.

Which is cheaper, Kimi K2 Thinking or Phi 4?

Kimi K2 Thinking costs $0.60 per million input tokens and $2.50 per million output tokens; Phi 4 costs $0.07 and $0.14. Cost per solved task is known for Kimi K2 Thinking only.

Which has the bigger context window, Kimi K2 Thinking or Phi 4?

Kimi K2 Thinking, with 262K tokens against 16K.

How many benchmarks is the Kimi K2 Thinking vs Phi 4 comparison based on?

12 benchmarks have a result for both models as of October 21, 2026. Kimi K2 Thinking's coding index rests on 1 independent benchmark and Phi 4's on 0. Where only one model has a result, the page says so instead of naming a winner.

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