Model comparison

GPT-6 Luna vs MiniMax-M2

GPT-6 Luna is the stronger model overall, scoring 45.1 to 36.9 on the Noometry Index.

Last verified October 10, 2026. 15 shared benchmarks.

GPT-6 Luna OpenAI

45.1

Rank #65 Confirmed

MiniMax-M2

MiniMax

36.9

Rank #201 Confirmed

Summary

They share 15 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and MiniMax-M2 in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in coding, where GPT-6 Luna leads 54.7 to 39.1.
The biggest single-benchmark swing is NYT Connections (extended): 68.7% for GPT-6 Luna and 14.8% for MiniMax-M2.
GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
GPT-6 Luna accepts more context: 1.05M tokens versus 205K.
MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

GPT-6 Luna and MiniMax-M2 specifications
	GPT-6 Luna	MiniMax-M2
Provider	OpenAI	MiniMax
Noometry Index	45.1	36.9
Released	2026-09-22	2025-10-27
Weights	Proprietary	Open
Context window	1.05M	205K
Max output	128K	131K
Input $ / M tokens	$0.10	$0.30
Output $ / M tokens	$0.50	$1.20
Results tracked	18	21

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 54.7 (#24), MiniMax-M2: 39.1 (#151)

Coding benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
LMArena WebDev	1583	1297
LMArena Coding	1448	1370
DeepSWE	66.6%	—
FrontierCode	42.4%	—
SWE-bench Verified (bash only)	—	61%

Agentic & Tool Use Not comparable

GPT-6 Luna: —, MiniMax-M2: 24.9 (#102)

Agentic & Tool Use benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
Terminal-Bench	—	30%
Vending-Bench 2	—	160.6

Reasoning GPT-6 Luna leads

GPT-6 Luna: 31.7 (#68), MiniMax-M2: 18.6 (#256)

Reasoning benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
NYT Connections (extended)	68.7%	14.8%
LMArena Hard Prompts	1415	1357
Kagi LLM Benchmark	—	57.8%

Math GPT-6 Luna leads

GPT-6 Luna: 35.6 (#140), MiniMax-M2: 34.6 (#158)

Math benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
LMArena Math	1396	1350

Knowledge GPT-6 Luna leads

GPT-6 Luna: 40.1 (#110), MiniMax-M2: 36.3 (#160)

Knowledge benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
LMArena Expert	1458	1336

Multimodal Not comparable

GPT-6 Luna: 42.0 (#27), MiniMax-M2: —

Multimodal benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
Furniture Assembly	44.2%	—

Multilingual GPT-6 Luna leads

GPT-6 Luna: 51.0 (#111), MiniMax-M2: 45.6 (#165)

Multilingual benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
LMArena Non-English	1390	1314
LMArena Chinese	1425	1367
LMArena Russian	1392	1332
LMArena Spanish	1416	1326
LMArena French	—	1336
LMArena German	—	1366

Instruction Following GPT-6 Luna leads

GPT-6 Luna: 74.7 (#85), MiniMax-M2: 70.4 (#160)

Instruction Following benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
LMArena Instruction Following	1414	1329

Long Context GPT-6 Luna leads

GPT-6 Luna: 43.3 (#95), MiniMax-M2: 40.5 (#148)

Long Context benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
LMArena Longer Query	1417	1332

Writing & Preference GPT-6 Luna leads

GPT-6 Luna: 58.4 (#115), MiniMax-M2: 53.3 (#157)

Writing & Preference benchmarks
Benchmark	GPT-6 Luna	MiniMax-M2
LMArena Text	1392	1340
LMArena Creative Writing	1357	1288
LMArena Multi-Turn	1400	1362

Frequently asked questions

Is GPT-6 Luna better than MiniMax-M2?

GPT-6 Luna is the stronger model overall, scoring 45.1 to 36.9 on the Noometry Index.

Which is cheaper, GPT-6 Luna or MiniMax-M2?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; MiniMax-M2 lists at $0.30 and $1.20.

Is GPT-6 Luna or MiniMax-M2 better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 39.1 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 205K.

How many benchmarks do GPT-6 Luna and MiniMax-M2 share?

15 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and MiniMax-M2 has 21.