Noometry

Model comparison

gpt-oss-120b vs MiniMax-M2.7

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 36.3 on the Noometry Index. gpt-oss-120b costs 7.5× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.

Last verified . 24 shared benchmarks.

gpt-oss-120b OpenAI

36.3

Rank #217 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 24 benchmarks with published results for both. gpt-oss-120b scores higher in 3 categories and MiniMax-M2.7 in 6 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where gpt-oss-120b leads 52.5 to 25.9.
  • The biggest single-benchmark swing is Terminal-Bench: 18.7% for gpt-oss-120b and 45.1% for MiniMax-M2.7.
  • gpt-oss-120b is cheaper at $0.037 / $0.17 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
  • MiniMax-M2.7 accepts more context: 205K tokens versus 131K.

Side by side

gpt-oss-120bMiniMax-M2.7
ProviderOpenAIMiniMax
Noometry Index36.337.7
Released2025-08-052026-03-18
WeightsOpenOpen
Context window131K205K
Max output41K131K
Input $ / M tokens$0.037$0.30
Output $ / M tokens$0.17$1.20
Results tracked4830

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Category by category

Coding MiniMax-M2.7 leads

gpt-oss-120b: 33.5 (#256), MiniMax-M2.7: 41.8 (#120)

Benchmarkgpt-oss-120bMiniMax-M2.7
SciCode36%47%
WeirdML48.2%37%
LMArena Coding13801454
ALE-Bench575.62599.25
SWE-bench Verified (bash only)26%—
Aider Polyglot41.8%—
LMArena WebDev—1398
AlgoTune1.41—

Agentic & Tool Use MiniMax-M2.7 leads

gpt-oss-120b: 12.2 (#153), MiniMax-M2.7: 25.1 (#111)

Benchmarkgpt-oss-120bMiniMax-M2.7
Terminal-Bench18.7%45.1%
APEX-Agents4.4%—
ExploitBench—13.3%
GBAEval—0%
METR Time Horizons56.6%—
Vending-Bench 2-21.53—

Reasoning Too close to call

gpt-oss-120b: 20.0 (#245), MiniMax-M2.7: 19.7 (#253)

Benchmarkgpt-oss-120bMiniMax-M2.7
CritPt1.1%0.6%
LMArena Hard Prompts13641422
Epoch Capabilities Index139.93145.85
SimpleBench22.1%—
Kagi LLM Benchmark58.6%—
NYT Connections (extended)—24.7%
Chess Puzzles20%—
Thematic Generalization—39.3%
Mystery Game Puzzles2%—
DTBench76.3%—
LMCA22.1%—
Surface Evolver Bench25%—

Math gpt-oss-120b leads

gpt-oss-120b: 52.5 (#50), MiniMax-M2.7: 25.9 (#263)

Benchmarkgpt-oss-120bMiniMax-M2.7
LMArena Math13891420
OTIS Mock AIME 2024-202588.9%—
ProofBench—3%
Omni-MATH68.8%—

Knowledge gpt-oss-120b leads

gpt-oss-120b: 42.4 (#96), MiniMax-M2.7: 37.7 (#152)

Benchmarkgpt-oss-120bMiniMax-M2.7
Vectara Hallucination Rate14.2%12.9%
LMArena Expert13561444
GPQA Diamond75.8%—
MMLU-Pro79.5%—
Confabulations15.7%—
GPQA (HELM)68.4%—

Multilingual MiniMax-M2.7 leads

gpt-oss-120b: 48.0 (#147), MiniMax-M2.7: 50.3 (#123)

Benchmarkgpt-oss-120bMiniMax-M2.7
LMArena Non-English13511382
LMArena Chinese13851441
LMArena French13691421
LMArena German13531398
LMArena Japanese13311262
LMArena Korean12821313
LMArena Russian13431383
LMArena Spanish13891403

Instruction Following MiniMax-M2.7 leads

gpt-oss-120b: 69.3 (#173), MiniMax-M2.7: 74.1 (#103)

Benchmarkgpt-oss-120bMiniMax-M2.7
LMArena Instruction Following13181405
IFEval83.6%—

Long Context MiniMax-M2.7 leads

gpt-oss-120b: 31.4 (#278), MiniMax-M2.7: 43.3 (#99)

Benchmarkgpt-oss-120bMiniMax-M2.7
LMArena Longer Query13191419
Fiction.LiveBench44.4%—

Writing & Preference MiniMax-M2.7 leads

gpt-oss-120b: 46.5 (#217), MiniMax-M2.7: 58.9 (#112)

Benchmarkgpt-oss-120bMiniMax-M2.7
LMArena Text13651405
LMArena Creative Writing12751354
LMArena Multi-Turn13401412
Short-Story Creative Writing77.1%—
EQ-Bench Creative Writing961—
WildBench84.5%—

Frequently asked questions

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

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 36.3 on the Noometry Index. gpt-oss-120b costs 7.5× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.

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

gpt-oss-120b is cheaper. It lists at $0.037 per million input tokens and $0.17 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.

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

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 33.5 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do gpt-oss-120b and MiniMax-M2.7 share?

24 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and MiniMax-M2.7 has 30.

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