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gpt-oss-120b vs MiniMax M2.7

MiniMax M2.7 leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 22.8 to 11.6, and gpt-oss-120b costs 2.4x less per output token ($0.50 vs $1.20 per million). Updated October 22, 2026; 57 benchmarks have a result for both.

Replace gpt-oss-120b Replace MiniMax M2.7
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
5
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
52
vs boards won of 57 shared

gpt-oss-120b or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 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 2.4x cheaper ($0.50 vs $1.20 per million) and a lower cost per solved task ($0.51 against $0.64).

Model Agpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
57
gpt-oss-120b only
28
MiniMax M2.7 only
17
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, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Web design, 33.0 points apart on average over 6 shared benchmarks.
Widest single gap
SWE-bench Verified (Vals AI): gpt-oss-120b 33.6% against MiniMax M2.7 73.8%, 40.2 points apart on a 0 to 100 scale.
Output price
gpt-oss-120b $0.50 against MiniMax M2.7 $1.20 per million output tokens, 2.4x apart.
Context window
gpt-oss-120b takes 131K tokens, MiniMax M2.7 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-120bBarsMiniMax M2.7Ties
Coding28
Intelligence02
Agentic work02
Reasoning06
Math12
Knowledge18
Web design06
General118
All shared boards552
CodingLike-for-likeSix of these boards feed the Vibe Coding Index28
Coding benchmarks for gpt-oss-120b and MiniMax M2.7
Benchmarkgpt-oss-120bMiniMax M2.7Leader
Aider polyglot41.8%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified26.0%Not measuredOnly gpt-oss-120b measured
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding Index30.452.6MiniMax M2.7
LiveCodeBench (Vals AI)83.2%79.9%gpt-oss-120b
SWE-bench Verified (Vals AI)33.6%73.8%MiniMax M2.7
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)87.8%Not measuredOnly gpt-oss-120b measured
SciCode34.0%50.1%MiniMax M2.7
Terminal-Bench Hard (Artificial Analysis run)23.5%39.4%MiniMax M2.7
Terminal-Bench18.7%45.1%MiniMax M2.7
WeirdML48.2%37.0%gpt-oss-120b
ALE-Bench575.6599.3MiniMax M2.7
LMArena Text: coding13791454MiniMax M2.7
LMArena Text: software and IT13871446MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1401Only MiniMax M2.7 measured
SciCode7.7%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for gpt-oss-120b and MiniMax M2.7
Benchmarkgpt-oss-120bMiniMax M2.7Leader
AA Intelligence Index11.622.8MiniMax M2.7
Epoch Capabilities Index139.8145.8MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for gpt-oss-120b and MiniMax M2.7
Benchmarkgpt-oss-120bMiniMax M2.7Leader
AA Agentic Index3.715.3MiniMax M2.7
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom65.8%84.8%MiniMax M2.7
APEX-Agents4.4%Not measuredOnly gpt-oss-120b measured
METR time horizons56.6%Not measuredOnly gpt-oss-120b measured
Vending-Bench 2-$22Not measuredOnly gpt-oss-120b measured
BrowseComp-Plus67.0%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for gpt-oss-120b and MiniMax M2.7
Benchmarkgpt-oss-120bMiniMax M2.7Leader
GPQA Diamond78.5%86.6%MiniMax M2.7
GPQA Diamond (Artificial Analysis run)78.2%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)19.6%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)75.8%Not measuredOnly gpt-oss-120b measured
SimpleBench22.1%Not measuredOnly gpt-oss-120b measured
Mystery game puzzles2.0%Not measuredOnly gpt-oss-120b measured
LMArena Text: hard prompts13641422MiniMax M2.7
LMArena Text: expert13561443MiniMax M2.7
LMArena Text: hard prompts in English13681441MiniMax M2.7
Kagi LLM Benchmark58.6%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for gpt-oss-120b and MiniMax M2.7
Benchmarkgpt-oss-120bMiniMax M2.7Leader
AIME92.6%91.0%gpt-oss-120b
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
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
LMArena Text: math13891421MiniMax M2.7
LMArena Text: mathematical work13861437MiniMax M2.7
MathArena15.1%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index18
Knowledge benchmarks for gpt-oss-120b and MiniMax M2.7
Benchmarkgpt-oss-120bMiniMax M2.7Leader
MMLU Pro79.2%80.4%MiniMax M2.7
LegalBench (Vals AI)75.9%84.0%MiniMax M2.7
CaseLaw (Vals AI)48.8%60.9%MiniMax M2.7
CorpFin (Vals AI)58.2%61.2%MiniMax M2.7
TaxEval (Vals AI)71.6%66.6%gpt-oss-120b
MedQA (Vals AI)91.4%Not measuredOnly gpt-oss-120b measured
MedCode (Vals AI)Not measured34.4%Only MiniMax M2.7 measured
MMLU Pro (Artificial Analysis run)80.8%Not measuredOnly gpt-oss-120b measured
LMArena Text: science13821416MiniMax M2.7
LMArena Text: medicine and healthcare13881409MiniMax M2.7
LMArena Text: legal and government13551403MiniMax M2.7
LMArena Text: business and finance13591407MiniMax M2.7
PRBench Finance43.8%Not measuredOnly gpt-oss-120b measured
PRBench Legal40.2%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for gpt-oss-120b and MiniMax M2.7
Benchmarkgpt-oss-120bMiniMax M2.7Leader
Design Arena: websites9681242MiniMax M2.7
Design Arena: UI components9241207MiniMax M2.7
Design Arena: game dev9911209MiniMax M2.7
Design Arena: data viz9871233MiniMax M2.7
Design Arena: 3D9011194MiniMax M2.7
Design Arena: all code categories9621233MiniMax M2.7
Design Arena: SVGNot measured1137Only MiniMax M2.7 measured
Design Arena: ASCII artNot measured1136Only MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
General benchmarks for gpt-oss-120b and MiniMax M2.7
Benchmarkgpt-oss-120bMiniMax M2.7Leader
MedScribe (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
IFBench69.0%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)52.0%78.3%MiniMax M2.7
DTBench76.3%Not measuredOnly gpt-oss-120b measured
LMCA22.1%Not measuredOnly gpt-oss-120b measured
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%Not measuredOnly gpt-oss-120b measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text13661405MiniMax M2.7
LMArena Text: instruction following13181405MiniMax M2.7
LMArena Text: creative writing12741354MiniMax M2.7
LMArena Text: English13751426MiniMax M2.7
LMArena Text: non-English13511382MiniMax M2.7
LMArena Text: Chinese13851442MiniMax M2.7
LMArena Text: German13531398MiniMax M2.7
LMArena Text: Japanese13311260gpt-oss-120b
LMArena Text: Korean12821314MiniMax M2.7
LMArena Text: French13701424MiniMax M2.7
LMArena Text: Spanish13891402MiniMax M2.7
LMArena Text: Russian13431383MiniMax M2.7
LMArena Text: Polish13531387MiniMax M2.7
LMArena Text: multi-turn13401412MiniMax M2.7
LMArena Text: longer queries13191418MiniMax M2.7
LMArena Text: writing and language13061376MiniMax M2.7
LMArena Text: entertainment and media12921360MiniMax M2.7
MultiChallenge45.3%Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 21 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 M2.7
Benchmarkgpt-oss-120bMiniMax M2.7Leader
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
MiniMax M2.7$0.0009Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

gpt-oss-120b$0.0065Fits in one request
MiniMax M2.7$0.019Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-120b$0.025Exceeds the context window
MiniMax M2.7$0.072Exceeds the context window

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 M2.7
SpecificationOpenAI gpt-oss-120bMiniMax M2.7
MakerOpenAIMiniMax
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025March 18, 2026
Context window131K205K
Input $/Mtok$0.10$0.30
Output $/Mtok$0.50$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it13
Cost per solved task$0.51$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-120b better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 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 2.4x cheaper ($0.50 vs $1.20 per million) and a lower cost per solved task ($0.51 against $0.64).

Which is cheaper, gpt-oss-120b or MiniMax M2.7?

gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, gpt-oss-120b costs $0.51 and MiniMax M2.7 $0.64.

Which has the bigger context window, gpt-oss-120b or MiniMax M2.7?

MiniMax M2.7, with 205K tokens against 131K.

How many benchmarks is the gpt-oss-120b vs MiniMax M2.7 comparison based on?

57 benchmarks have a result for both models as of October 22, 2026. gpt-oss-120b's coding index rests on 1 independent benchmark and MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

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