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gpt-oss-120b vs MiniMax M3

Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace gpt-oss-120b Replace MiniMax M3
gpt-oss-120bOpenAI
Coding
34.5
Overall
11.6
Output $/M
$0.60
2
MiniMax M3MiniMax
Coding
57.8
Overall
29.2
Output $/M
$1.20
60
vs boards won of 62 shared

Decision reading

Pick MiniMax M3 for coding: it scores 57.8 on the Vibe Coding Index against 34.5 for gpt-oss-120b.

Pick gpt-oss-120b when output tokens cost 2.0x less, or when a solved task costs $0.51 against $0.56.

Model Agpt-oss-120bOpenAI34.5/1002 independent benchmarks$0.51 per solved taskModel BMiniMax M3MiniMax57.8/1002 independent benchmarks$0.56 per solved task
Shared results
62
gpt-oss-120b only
16
MiniMax M3 only
54
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
gpt-oss-120b 34.5 from 2 benchmarks, MiniMax M3 57.8 from 2 benchmarks.
Widest category
Web design, 34.7 points apart on average over 6 shared benchmarks.
Widest single gap
SWE-bench Verified (Vals AI): gpt-oss-120b 33.6% against MiniMax M3 75.0%, 41.4 points apart on a 0 to 100 scale.
Output price
gpt-oss-120b $0.60 against MiniMax M3 $1.20 per million output tokens, 2.0x apart.
Context window
gpt-oss-120b takes 131K tokens, MiniMax M3 1.05M.

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-120bBarsMiniMax M3Ties
Coding17
Intelligence02
Agentic work04
Reasoning09
Math12
Knowledge08
Web design06
General022
All shared boards260
CodingLike-for-likeFour of these boards feed the Vibe Coding Index17
Coding benchmarks for gpt-oss-120b and MiniMax M3
Benchmarkgpt-oss-120bMiniMax M3Leader
Aider polyglot41.8%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified26.0%Not measuredOnly gpt-oss-120b measured
LiveBench codingNot measured70.9%Only MiniMax M3 measured
LMArena WebDevNot measured1482Only MiniMax M3 measured
AA Coding Index30.458.6MiniMax M3
LiveCodeBench (Vals AI)83.2%82.2%gpt-oss-120b
SWE-bench Verified (Vals AI)33.6%75.0%MiniMax M3
Terminal-Bench 4 (Vals AI)Not measured1.0%Only MiniMax M3 measured
Vibe Code Bench (Vals AI)Not measured47.6%Only MiniMax M3 measured
Code migration (Vals AI)Not measured19.9%Only MiniMax M3 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only MiniMax M3 measured
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured9.2%Only MiniMax M3 measured
SkillsBench (Vals AI)Not measured51.5%Only MiniMax M3 measured
CyberBench (Vals AI)Not measured65.0%Only MiniMax M3 measured
LiveCodeBench (Artificial Analysis run)87.8%Not measuredOnly gpt-oss-120b measured
SciCode34.0%47.1%MiniMax M3
Terminal-Bench Hard (Artificial Analysis run)23.5%42.4%MiniMax M3
Terminal-Bench18.7%Not measuredOnly gpt-oss-120b measured
FrontierCodeNot measured14.7%Only MiniMax M3 measured
WeirdML48.2%Not measuredOnly gpt-oss-120b measured
ALE-Bench575.6640.0MiniMax M3
LMArena Text: coding13791470MiniMax M3
LMArena Text: software and IT13871466MiniMax M3
LMArena WebDev: ReactNot measured1478Only MiniMax M3 measured
LMArena WebDev: HTMLNot measured1455Only MiniMax M3 measured
LMArena WebDev: from an imageNot measured1470Only MiniMax M3 measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for gpt-oss-120b and MiniMax M3
Benchmarkgpt-oss-120bMiniMax M3Leader
AA Intelligence Index11.629.2MiniMax M3
Epoch Capabilities Index139.8146.9MiniMax M3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for gpt-oss-120b and MiniMax M3
Benchmarkgpt-oss-120bMiniMax M3Leader
AA Agentic Index3.729.5MiniMax M3
Design Arena: agents building web appsNot measured1200Only MiniMax M3 measured
Design Arena: agents building full-stack appsNot measured1197Only MiniMax M3 measured
Design Arena: agents building mobile appsNot measured1169Only MiniMax M3 measured
Design Arena: agents building Android appsNot measured1164Only MiniMax M3 measured
Design Arena: agents building gamesNot measured1158Only MiniMax M3 measured
Design Arena: HTML slidesNot measured1180Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1205Only MiniMax M3 measured
Design Arena: spreadsheetsNot measured1021Only MiniMax M3 measured
LiveBench researchNot measured68.0%Only MiniMax M3 measured
LiveBench browserNot measured8.0%Only MiniMax M3 measured
LiveBench long agenticNot measured12.4%Only MiniMax M3 measured
Finance Agent (Vals AI)Not measured48.3%Only MiniMax M3 measured
Tax Agent Bench (Vals AI)Not measured20.6%Only MiniMax M3 measured
Legal Research Bench (Vals AI)Not measured29.8%Only MiniMax M3 measured
Excel Modeling Benchmark (Vals AI)Not measured47.8%Only MiniMax M3 measured
τ²-Bench Telecom65.8%88.9%MiniMax M3
APEX-Agents4.4%37.7%MiniMax M3
METR time horizons56.6%Not measuredOnly gpt-oss-120b measured
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
Vending-Bench 2-$22$2,158MiniMax M3
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for gpt-oss-120b and MiniMax M3
Benchmarkgpt-oss-120bMiniMax M3Leader
GPQA Diamond78.5%92.7%MiniMax M3
LiveBench reasoningNot measured74.5%Only MiniMax M3 measured
MMMU Pro (Vals AI)Not measured81.2%Only MiniMax M3 measured
GPQA Diamond (Artificial Analysis run)78.2%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)19.6%39.0%MiniMax M3
GPQA Diamond (Epoch AI run)75.8%90.9%MiniMax M3
SimpleBench22.1%45.8%MiniMax M3
Chess puzzlesNot measured13.0%Only MiniMax M3 measured
Mystery game puzzles2.0%8.0%MiniMax M3
LMArena Text: hard prompts13641447MiniMax M3
LMArena Text: expert13561461MiniMax M3
LMArena Text: hard prompts in English13681455MiniMax M3
LMArena Vision: diagramsNot measured1266Only MiniMax M3 measured
LMArena Vision: homeworkNot measured1268Only MiniMax M3 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for gpt-oss-120b and MiniMax M3
Benchmarkgpt-oss-120bMiniMax M3Leader
AIME92.6%Not measuredOnly gpt-oss-120b measured
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%71.1%gpt-oss-120b
ProofBenchNot measured18.0%Only MiniMax M3 measured
LMArena Text: math13891429MiniMax M3
LMArena Text: mathematical work13861448MiniMax M3
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
Knowledge benchmarks for gpt-oss-120b and MiniMax M3
Benchmarkgpt-oss-120bMiniMax M3Leader
MMLU Pro79.2%84.2%MiniMax M3
LegalBench (Vals AI)75.9%85.4%MiniMax M3
CaseLaw (Vals AI)48.8%Not measuredOnly gpt-oss-120b measured
CorpFin (Vals AI)58.2%68.1%MiniMax M3
TaxEval (Vals AI)71.6%72.7%MiniMax M3
MortgageTax (Vals AI)Not measured68.4%Only MiniMax M3 measured
MedQA (Vals AI)91.4%Not measuredOnly gpt-oss-120b measured
MedCode (Vals AI)Not measured46.3%Only MiniMax M3 measured
MMLU Pro (Artificial Analysis run)80.8%Not measuredOnly gpt-oss-120b measured
LMArena Text: science13821452MiniMax M3
LMArena Text: medicine and healthcare13881441MiniMax M3
LMArena Text: legal and government13551437MiniMax M3
LMArena Text: business and finance13591434MiniMax M3
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 MiniMax M3
Benchmarkgpt-oss-120bMiniMax M3Leader
Design Arena: websites9681257MiniMax M3
Design Arena: UI components9271246MiniMax M3
Design Arena: game dev9921210MiniMax M3
Design Arena: data viz9871235MiniMax M3
Design Arena: 3D9011209MiniMax M3
Design Arena: all code categories9631247MiniMax M3
Design Arena: SVGNot measured1161Only MiniMax M3 measured
Design Arena: ASCII artNot measured1161Only MiniMax M3 measured
LiveBench designNot measured66.2%Only MiniMax M3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index022
General benchmarks for gpt-oss-120b and MiniMax M3
Benchmarkgpt-oss-120bMiniMax M3Leader
LiveBench data analysisNot measured76.2%Only MiniMax M3 measured
Public Benefits Bench (Vals AI)Not measured64.1%Only MiniMax M3 measured
SAGE (Vals AI)Not measured50.6%Only MiniMax M3 measured
MedScribe (Vals AI)Not measured87.3%Only MiniMax M3 measured
Vals Multimodal IndexNot measured60.0%Only MiniMax M3 measured
IFBench69.0%82.9%MiniMax M3
Long context reasoning (AA-LCR)52.0%83.0%MiniMax M3
DTBench76.3%78.9%MiniMax M3
LMCA22.1%33.7%MiniMax M3
Fiction.LiveBench44.4%Not measuredOnly gpt-oss-120b measured
Creative writing (Lech Mazur)77.1%Not measuredOnly gpt-oss-120b measured
Surface Evolver Bench25.0%55.0%MiniMax M3
LMArena Text13661433MiniMax M3
LMArena Text: instruction following13181433MiniMax M3
LMArena Text: creative writing12741404MiniMax M3
LMArena VisionNot measured1251Only MiniMax M3 measured
LMArena Text: English13751443MiniMax M3
LMArena Text: non-English13511420MiniMax M3
LMArena Text: Chinese13851466MiniMax M3
LMArena Text: German13531428MiniMax M3
LMArena Text: Japanese13311380MiniMax M3
LMArena Text: Korean12821373MiniMax M3
LMArena Text: French13701444MiniMax M3
LMArena Text: Spanish13891433MiniMax M3
LMArena Text: Russian13431426MiniMax M3
LMArena Text: Polish13531423MiniMax M3
LMArena Text: multi-turn13401443MiniMax M3
LMArena Text: longer queries13191446MiniMax M3
LMArena Text: writing and language13061419MiniMax M3
LMArena Text: entertainment and media12921403MiniMax M3
LMArena Vision: EnglishNot measured1263Only MiniMax M3 measured
LMArena Vision: ChineseNot measured1311Only MiniMax M3 measured
LMArena Vision: reading textNot measured1259Only MiniMax M3 measured
LMArena Vision: humorNot measured1235Only MiniMax M3 measured
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writingNot measured1234Only MiniMax M3 measured
LMArena DocumentNot measured1435Only MiniMax M3 measured
Neither model has a result on the other 9 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 MiniMax M3
Benchmarkgpt-oss-120bMiniMax M3Leader
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$0.0004Fits in one request
MiniMax M3$0.0009Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

gpt-oss-120b$0.0093Fits in one request
MiniMax M3$0.019Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-120b$0.036Exceeds the context window
MiniMax M3$0.072Fits 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 MiniMax M3
SpecificationOpenAI gpt-oss-120bMiniMax M3
MakerOpenAIMiniMax
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025May 31, 2026
Context window131K1.05M
Input $/Mtok$0.15$0.30
Output $/Mtok$0.60$1.20
Coding index34.557.8
Independent measurements behind it22
Cost per solved task$0.51$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-120b better than MiniMax M3 for coding?

Pick MiniMax M3 for coding: it scores 57.8 on the Vibe Coding Index against 34.5 for gpt-oss-120b. Pick gpt-oss-120b when output tokens cost 2.0x less, or when a solved task costs $0.51 against $0.56.

Which is cheaper, gpt-oss-120b or MiniMax M3?

gpt-oss-120b costs $0.15 per million input tokens and $0.60 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, gpt-oss-120b costs $0.51 and MiniMax M3 $0.56.

Which has the bigger context window, gpt-oss-120b or MiniMax M3?

MiniMax M3, with 1.05M tokens against 131K.

How many benchmarks is the gpt-oss-120b vs MiniMax M3 comparison based on?

62 benchmarks have a result for both models as of October 21, 2026. gpt-oss-120b's coding index rests on 2 independent benchmarks and MiniMax M3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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