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gpt-oss-20b vs MiniMax M2

MiniMax M2 leads gpt-oss-20b on the Artificial Analysis Intelligence Index, 18.6 to 10.0, and gpt-oss-20b costs 6.8x less per output token ($0.15 vs $1.02 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Replace gpt-oss-20b Replace MiniMax M2
gpt-oss-20bOpenAI
Coding
No data
Overall
38.5
Output $/M
$0.15
2
MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
38
vs boards won of 40 shared

gpt-oss-20b or MiniMax M2: which to pick

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

Pick gpt-oss-20b for output tokens 6.8x cheaper ($0.15 vs $1.02 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model Agpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2MiniMaxNot benchmarked1 independent benchmark$0.702 per solved task
Shared results
40
gpt-oss-20b only
22
MiniMax M2 only
10
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-20b not benchmarked, MiniMax M2 not benchmarked.
Widest category
Web design, 31.1 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: websites: gpt-oss-20b 852 against MiniMax M2 1143, 36.4 points apart on a 0 to 100 scale.
Output price
gpt-oss-20b $0.15 against MiniMax M2 $1.02 per million output tokens, 6.8x apart.
Context window
gpt-oss-20b takes 131K tokens, MiniMax M2 205K.

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-20bBarsMiniMax M2Ties
Coding05
Intelligence01
Agentic work01
Reasoning06
Math22
Knowledge05
Web design02
General016
All shared boards238
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for gpt-oss-20b and MiniMax M2
Benchmarkgpt-oss-20bMiniMax M2Leader
SWE-bench VerifiedNot measured61.0%Only MiniMax M2 measured
LMArena WebDevNot measured1297Only MiniMax M2 measured
LiveCodeBench (Vals AI)80.4%Not measuredOnly gpt-oss-20b measured
LiveCodeBench (Artificial Analysis run)77.7%82.6%MiniMax M2
SciCode38.9%Not measuredOnly gpt-oss-20b measured
Terminal-Bench Hard (Artificial Analysis run)10.6%25.8%MiniMax M2
Terminal-Bench3.4%30.0%MiniMax M2
WeirdML40.9%Not measuredOnly gpt-oss-20b measured
ALE-Bench566.0Not measuredOnly gpt-oss-20b measured
LMArena Text: coding13071371MiniMax M2
LMArena Text: software and IT13111373MiniMax M2
LMArena WebDev: HTMLNot measured1306Only MiniMax M2 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for gpt-oss-20b and MiniMax M2
Benchmarkgpt-oss-20bMiniMax M2Leader
AA Intelligence Index10.018.6MiniMax M2
Epoch Capabilities Index137.7Not measuredOnly gpt-oss-20b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for gpt-oss-20b and MiniMax M2
Benchmarkgpt-oss-20bMiniMax M2Leader
τ²-Bench Telecom60.2%86.8%MiniMax M2
Vending-Bench 2Not measured$161Only MiniMax M2 measured
BrowseComp-Plus50.6%Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for gpt-oss-20b and MiniMax M2
Benchmarkgpt-oss-20bMiniMax M2Leader
GPQA Diamond68.9%Not measuredOnly gpt-oss-20b measured
GPQA Diamond (Artificial Analysis run)68.8%77.7%MiniMax M2
Humanity's Last Exam (Artificial Analysis run)11.0%13.7%MiniMax M2
GPQA Diamond (Epoch AI run)60.8%Not measuredOnly gpt-oss-20b measured
LMArena Text: hard prompts12741357MiniMax M2
LMArena Text: expert12581338MiniMax M2
LMArena Text: hard prompts in English12921376MiniMax M2
Kagi LLM Benchmark53.2%57.8%MiniMax M2
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for gpt-oss-20b and MiniMax M2
Benchmarkgpt-oss-20bMiniMax M2Leader
AIME86.0%Not measuredOnly gpt-oss-20b measured
MATH 500 (Vals AI)94.2%Not measuredOnly gpt-oss-20b measured
MGSM (Vals AI)89.0%Not measuredOnly gpt-oss-20b measured
AA Math Index89.378.3gpt-oss-20b
AIME 2025 (Artificial Analysis run)89.3%78.3%gpt-oss-20b
OTIS Mock AIME65.3%Not measuredOnly gpt-oss-20b measured
LMArena Text: math13171351MiniMax M2
LMArena Text: mathematical work13051368MiniMax M2
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for gpt-oss-20b and MiniMax M2
Benchmarkgpt-oss-20bMiniMax M2Leader
MMLU Pro71.6%Not measuredOnly gpt-oss-20b measured
LegalBench (Vals AI)70.8%Not measuredOnly gpt-oss-20b measured
CaseLaw (Vals AI)43.8%Not measuredOnly gpt-oss-20b measured
CorpFin (Vals AI)53.1%Not measuredOnly gpt-oss-20b measured
TaxEval (Vals AI)63.7%Not measuredOnly gpt-oss-20b measured
MedQA (Vals AI)82.9%Not measuredOnly gpt-oss-20b measured
MMLU Pro (Artificial Analysis run)74.8%82.0%MiniMax M2
LMArena Text: science12961348MiniMax M2
LMArena Text: medicine and healthcare13101367MiniMax M2
LMArena Text: legal and government12801349MiniMax M2
LMArena Text: business and finance12841336MiniMax M2
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for gpt-oss-20b and MiniMax M2
Benchmarkgpt-oss-20bMiniMax M2Leader
Design Arena: websites8521143MiniMax M2
Design Arena: UI componentsNot measured1137Only MiniMax M2 measured
Design Arena: game devNot measured1118Only MiniMax M2 measured
Design Arena: data viz9331140MiniMax M2
Design Arena: 3DNot measured1098Only MiniMax M2 measured
Design Arena: all code categoriesNot measured1135Only MiniMax M2 measured
Design Arena: SVGNot measured1100Only MiniMax M2 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index016
General benchmarks for gpt-oss-20b and MiniMax M2
Benchmarkgpt-oss-20bMiniMax M2Leader
IFBench65.1%72.3%MiniMax M2
Long context reasoning (AA-LCR)34.7%64.3%MiniMax M2
DTBench68.0%Not measuredOnly gpt-oss-20b measured
LMCA14.5%Not measuredOnly gpt-oss-20b measured
LMArena Text12881340MiniMax M2
LMArena Text: instruction following12361329MiniMax M2
LMArena Text: creative writing12011286MiniMax M2
LMArena Text: English13031364MiniMax M2
LMArena Text: non-English12691313MiniMax M2
LMArena Text: Chinese13151366MiniMax M2
LMArena Text: German12551357MiniMax M2
LMArena Text: Japanese1244Not measuredOnly gpt-oss-20b measured
LMArena Text: Korean1236Not measuredOnly gpt-oss-20b measured
LMArena Text: FrenchNot measured1336Only MiniMax M2 measured
LMArena Text: Spanish12671326MiniMax M2
LMArena Text: Russian12781330MiniMax M2
LMArena Text: Polish12521312MiniMax M2
LMArena Text: multi-turn12681361MiniMax M2
LMArena Text: longer queries12501331MiniMax M2
LMArena Text: writing and language12381295MiniMax M2
LMArena Text: entertainment and media12161298MiniMax M2
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for gpt-oss-20b and MiniMax M2
Benchmarkgpt-oss-20bMiniMax M2Leader
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-20b$0.0001Fits in one request
MiniMax M2$0.0008Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

gpt-oss-20b$0.0019Fits in one request
MiniMax M2$0.016Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-20b$0.0075Exceeds the context window
MiniMax M2$0.061Exceeds the context window

gpt-oss-20b 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-20b and MiniMax M2
SpecificationOpenAI gpt-oss-20bMiniMax M2
MakerOpenAIMiniMax
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025October 23, 2025
Context window131K205K
Input $/Mtok$0.03$0.255
Output $/Mtok$0.15$1.02
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-20b better than MiniMax M2 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick gpt-oss-20b for output tokens 6.8x cheaper ($0.15 vs $1.02 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, gpt-oss-20b or MiniMax M2?

gpt-oss-20b costs $0.03 per million input tokens and $0.15 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, gpt-oss-20b or MiniMax M2?

MiniMax M2, with 205K tokens against 131K.

How many benchmarks is the gpt-oss-20b vs MiniMax M2 comparison based on?

40 benchmarks have a result for both models as of October 22, 2026. gpt-oss-20b's coding index rests on 0 independent benchmarks and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.

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