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gpt-oss-120b vs Kimi K2.5

Kimi K2.5 leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 23.5 to 11.6, and gpt-oss-120b costs 5.7x less per output token ($0.50 vs $2.85 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
1
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
59
vs boards won of 60 shared

gpt-oss-120b or Kimi K2.5: which to pick

Only Kimi K2.5 has a coding score, 38.6 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding.

Pick gpt-oss-120b for output tokens 5.7x cheaper ($0.50 vs $2.85 per million) and work measured by WeirdML, where it leads.

Shared results
60
gpt-oss-120b only
21
Kimi K2.5 only
39
Like-for-like categories
8 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
gpt-oss-120b not benchmarked, Kimi K2.5 38.6 from 3 benchmarks.
Widest category
Web design, 33.6 points apart on average over 6 shared benchmarks.
Widest single gap
SWE-bench Verified: gpt-oss-120b 26.0% against Kimi K2.5 70.8%, 44.8 points apart on a 0 to 100 scale.
Output price
gpt-oss-120b $0.50 against Kimi K2.5 $2.85 per million output tokens, 5.7x apart.
Context window
gpt-oss-120b takes 131K tokens, Kimi K2.5 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
Categorygpt-oss-120bBarsKimi K2.5Ties
Coding19
Intelligence02
Agentic work02
Reasoning08
Math03
Knowledge09
Web design06
General020
All shared boards159
CodingLike-for-likeSix of these boards feed the Vibe Coding Index19
Coding benchmarks for gpt-oss-120b and Kimi K2.5
Benchmarkgpt-oss-120bKimi K2.5Leader
Aider polyglot41.8%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified26.0%70.8%Kimi K2.5
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDevNot measured1437Only Kimi K2.5 measured
AA Coding Index30.446.8Kimi K2.5
LiveCodeBench (Vals AI)83.2%83.9%Kimi K2.5
SWE-bench Verified (Vals AI)33.6%70.0%Kimi K2.5
Vibe Code Bench (Vals AI)Not measured17.5%Only Kimi K2.5 measured
Code migration (Vals AI)Not measured7.0%Only Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Kimi K2.5 measured
LiveCodeBench (Artificial Analysis run)87.8%Not measuredOnly gpt-oss-120b measured
SciCode34.0%Not measuredOnly gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)23.5%34.8%Kimi K2.5
Terminal-Bench18.7%43.2%Kimi K2.5
WeirdML48.2%45.6%gpt-oss-120b
ALE-Bench575.6821.6Kimi K2.5
LMArena Text: coding13791483Kimi K2.5
LMArena Text: software and IT13871471Kimi K2.5
LMArena WebDev: ReactNot measured1429Only Kimi K2.5 measured
LMArena WebDev: HTMLNot measured1426Only Kimi K2.5 measured
LMArena WebDev: from an imageNot measured1439Only Kimi K2.5 measured
SciCode7.7%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for gpt-oss-120b and Kimi K2.5
Benchmarkgpt-oss-120bKimi K2.5Leader
AA Intelligence Index11.623.5Kimi K2.5
Epoch Capabilities Index139.8148.1Kimi K2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for gpt-oss-120b and Kimi K2.5
Benchmarkgpt-oss-120bKimi K2.5Leader
AA Agentic Index3.7Not measuredOnly gpt-oss-120b measured
Design Arena: agents building web appsNot measured1136Only Kimi K2.5 measured
Design Arena: agents building full-stack appsNot measured1114Only Kimi K2.5 measured
Design Arena: agents building mobile appsNot measured1147Only Kimi K2.5 measured
Design Arena: agents building Android appsNot measured1118Only Kimi K2.5 measured
Design Arena: agents building Godot gamesNot measured1219Only Kimi K2.5 measured
Finance Agent (Vals AI)Not measured35.8%Only Kimi K2.5 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)Not measured28.5%Only Kimi K2.5 measured
τ²-Bench Telecom65.8%95.9%Kimi K2.5
APEX-Agents4.4%Not measuredOnly gpt-oss-120b measured
METR time horizons56.6%Not measuredOnly gpt-oss-120b measured
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2-$22$1,198Kimi K2.5
BrowseComp-Plus67.0%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for gpt-oss-120b and Kimi K2.5
Benchmarkgpt-oss-120bKimi K2.5Leader
GPQA Diamond78.5%84.1%Kimi K2.5
MMMU Pro (Vals AI)Not measured84.3%Only Kimi K2.5 measured
GPQA Diamond (Artificial Analysis run)78.2%87.9%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)19.6%30.7%Kimi K2.5
GPQA Diamond (Epoch AI run)75.8%Not measuredOnly gpt-oss-120b measured
ARC-AGINot measured65.3%Only Kimi K2.5 measured
ARC-AGI-2Not measured11.8%Only Kimi K2.5 measured
SimpleBench22.1%46.8%Kimi K2.5
Mystery game puzzles2.0%Not measuredOnly gpt-oss-120b measured
LMArena Text: hard prompts13641453Kimi K2.5
LMArena Text: expert13561466Kimi K2.5
LMArena Text: hard prompts in English13681460Kimi K2.5
LMArena Vision: diagramsNot measured1282Only Kimi K2.5 measured
LMArena Vision: homeworkNot measured1297Only Kimi K2.5 measured
Kagi LLM Benchmark58.6%78.5%Kimi K2.5
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for gpt-oss-120b and Kimi K2.5
Benchmarkgpt-oss-120bKimi K2.5Leader
AIME92.6%95.6%Kimi K2.5
MATH 500 (Vals AI)94.8%Not measuredOnly gpt-oss-120b measured
MGSM (Vals AI)92.0%Not measuredOnly gpt-oss-120b measured
AA Math Index93.4Not measuredOnly gpt-oss-120b measured
AIME 2025 (Artificial Analysis run)93.4%Not measuredOnly gpt-oss-120b measured
OTIS Mock AIME88.9%Not measuredOnly gpt-oss-120b measured
LMArena Text: math13891470Kimi K2.5
LMArena Text: mathematical work13861473Kimi K2.5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for gpt-oss-120b and Kimi K2.5
Benchmarkgpt-oss-120bKimi K2.5Leader
MMLU Pro79.2%85.9%Kimi K2.5
LegalBench (Vals AI)75.9%Not measuredOnly gpt-oss-120b measured
CaseLaw (Vals AI)48.8%58.7%Kimi K2.5
CorpFin (Vals AI)58.2%68.3%Kimi K2.5
TaxEval (Vals AI)71.6%74.2%Kimi K2.5
MortgageTax (Vals AI)Not measured66.5%Only Kimi K2.5 measured
MedQA (Vals AI)91.4%94.4%Kimi K2.5
MedCode (Vals AI)Not measured39.3%Only Kimi K2.5 measured
MMLU Pro (Artificial Analysis run)80.8%Not measuredOnly gpt-oss-120b measured
SimpleQA VerifiedNot measured34.3%Only Kimi K2.5 measured
LMArena Text: science13821459Kimi K2.5
LMArena Text: medicine and healthcare13881448Kimi K2.5
LMArena Text: legal and government13551441Kimi K2.5
LMArena Text: business and finance13591427Kimi K2.5
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for gpt-oss-120b and Kimi K2.5
Benchmarkgpt-oss-120bKimi K2.5Leader
Design Arena: websites9671248Kimi K2.5
Design Arena: UI components9241234Kimi K2.5
Design Arena: game dev9921206Kimi K2.5
Design Arena: data viz9871219Kimi K2.5
Design Arena: 3D9011204Kimi K2.5
Design Arena: all code categories9621236Kimi K2.5
Design Arena: SVGNot measured1149Only Kimi K2.5 measured
Design Arena: ASCII artNot measured1166Only Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for gpt-oss-120b and Kimi K2.5
Benchmarkgpt-oss-120bKimi K2.5Leader
SAGE (Vals AI)Not measured49.9%Only Kimi K2.5 measured
MedScribe (Vals AI)Not measured76.4%Only Kimi K2.5 measured
IFBench69.0%70.2%Kimi K2.5
Long context reasoning (AA-LCR)52.0%78.0%Kimi K2.5
DTBench76.3%Not measuredOnly gpt-oss-120b measured
LMCA22.1%Not measuredOnly gpt-oss-120b measured
Fiction.LiveBench44.4%86.1%Kimi K2.5
Creative writing (Lech Mazur)77.1%Not measuredOnly gpt-oss-120b measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
Surface Evolver Bench25.0%Not measuredOnly gpt-oss-120b measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text13661445Kimi K2.5
LMArena Text: instruction following13181431Kimi K2.5
LMArena Text: creative writing12741422Kimi K2.5
LMArena VisionNot measured1269Only Kimi K2.5 measured
LMArena Text: English13751453Kimi K2.5
LMArena Text: non-English13511433Kimi K2.5
LMArena Text: Chinese13851494Kimi K2.5
LMArena Text: German13531441Kimi K2.5
LMArena Text: Japanese13311423Kimi K2.5
LMArena Text: Korean12821412Kimi K2.5
LMArena Text: French13701454Kimi K2.5
LMArena Text: Spanish13891450Kimi K2.5
LMArena Text: Russian13431435Kimi K2.5
LMArena Text: Polish13531445Kimi K2.5
LMArena Text: multi-turn13401444Kimi K2.5
LMArena Text: longer queries13191445Kimi K2.5
LMArena Text: writing and language13061425Kimi K2.5
LMArena Text: entertainment and media12921417Kimi K2.5
LMArena Vision: EnglishNot measured1274Only Kimi K2.5 measured
LMArena Vision: ChineseNot measured1328Only Kimi K2.5 measured
LMArena Vision: reading textNot measured1276Only Kimi K2.5 measured
LMArena Vision: humorNot measured1284Only Kimi K2.5 measured
LMArena Vision: captioningNot measured1257Only Kimi K2.5 measured
LMArena Vision: recognizing thingsNot measured1285Only Kimi K2.5 measured
LMArena Vision: creative writingNot measured1269Only Kimi K2.5 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for gpt-oss-120b and Kimi K2.5
Benchmarkgpt-oss-120bKimi K2.5Leader
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

gpt-oss-120b$0.0003Fits in one request
Kimi K2.5$0.0020Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

gpt-oss-120b$0.0065Fits in one request
Kimi K2.5$0.035Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-120b$0.025Exceeds the context window
Kimi K2.5$0.135Fits in one request

gpt-oss-120b 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 gpt-oss-120b and Kimi K2.5
SpecificationOpenAI gpt-oss-120bMoonshotAI Kimi K2.5
MakerOpenAIMoonshot AI
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025January 27, 2026
Context window131K262K
Input $/Mtok$0.10$0.532
Output $/Mtok$0.50$2.85
Coding indexNot benchmarked38.6
Independent measurements behind it13
Cost per solved task$0.51$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-120b better than Kimi K2.5 for coding?

Only Kimi K2.5 has a coding score, 38.6 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 5.7x cheaper ($0.50 vs $2.85 per million) and work measured by WeirdML, where it leads.

Which is cheaper, gpt-oss-120b or Kimi K2.5?

gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Per solved SWE-bench Verified task, gpt-oss-120b costs $0.51 and Kimi K2.5 $0.24.

Which has the bigger context window, gpt-oss-120b or Kimi K2.5?

Kimi K2.5, with 262K tokens against 131K.

How many benchmarks is the gpt-oss-120b vs Kimi K2.5 comparison based on?

60 benchmarks have a result for both models as of October 22, 2026. gpt-oss-120b's coding index rests on 1 independent benchmark and Kimi K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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