Model comparison

GPT-6 Sol vs MiniMax-M2.1

GPT-6 Sol is the stronger model overall, scoring 61.8 to 38.9 on the Noometry Index. MiniMax-M2.1 costs 7.6× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Last verified October 12, 2026. 21 shared benchmarks.

GPT-6 Sol OpenAI

61.8

Rank #12 Confirmed

MiniMax-M2.1

MiniMax

38.9

Rank #178 Confirmed

Summary

They share 21 benchmarks with published results for both. GPT-6 Sol scores higher in 8 categories and MiniMax-M2.1 in 1 category; 6 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GPT-6 Sol leads 74.0 to 16.6.
The biggest single-benchmark swing is NYT Connections (extended): 90.1% for GPT-6 Sol and 11.2% for MiniMax-M2.1.
MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
GPT-6 Sol accepts more context: 1.05M tokens versus 205K.
MiniMax-M2.1 has downloadable open weights; the other is API-only.

Side by side

GPT-6 Sol and MiniMax-M2.1 specifications
	GPT-6 Sol	MiniMax-M2.1
Provider	OpenAI	MiniMax
Noometry Index	61.8	38.9
Released	2026-09-22	2025-12-23
Weights	Proprietary	Open
Context window	1.05M	205K
Max output	128K	131K
Input $ / M tokens	$2	$0.30
Output $ / M tokens	$10	$1.20
Results tracked	45	22

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Category by category

Coding GPT-6 Sol leads

GPT-6 Sol: 60.1 (#11), MiniMax-M2.1: 40.4 (#143)

Coding benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
LMArena WebDev	1688	1384
LMArena Coding	1447	1421
ALE-Bench	2,462	623.83
DeepSWE	68.8%	—
FrontierCode	49.3%	—
SciCode	57.6%	—

Agentic & Tool Use GPT-6 Sol leads

GPT-6 Sol: 37.2 (#36), MiniMax-M2.1: 27.9 (#98)

Agentic & Tool Use benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
Terminal-Bench	—	36.6%
APEX-Agents	54.3%	—
GDP.pdf	26.4%	—
Vending-Bench 2	14,428	—

Reasoning GPT-6 Sol leads

GPT-6 Sol: 74.0 (#9), MiniMax-M2.1: 16.6 (#302)

Reasoning benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
NYT Connections (extended)	90.1%	11.2%
LMArena Hard Prompts	1418	1411
ARC-AGI-2	89.6%	—
ARC-AGI-1	95.5%	—
CritPt	30.9%	—
EBR-Bench	53.3%	—
Mystery Game Puzzles	56%	—
DTBench	97.3%	—
LMCA	59.1%	—
Epoch Capabilities Index	162.72	—

Math GPT-6 Sol leads

GPT-6 Sol: 87.2 (#7), MiniMax-M2.1: 38.3 (#138)

Math benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
LMArena Math	1402	1397
FrontierMath (Tiers 1-3)	89.8%	—
FrontierMath Tier 4	90%	—
OTIS Mock AIME 2024-2025	100%	—
ProofBench	83%	—

Knowledge GPT-6 Sol leads

GPT-6 Sol: 64.8 (#15), MiniMax-M2.1: 38.3 (#147)

Knowledge benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
Vectara Hallucination Rate	6.5%	11.8%
LMArena Expert	1439	1431
GPQA Diamond	94.3%	—
SimpleQA Verified	60.7%	—

Multimodal Not comparable

GPT-6 Sol: 47.6 (#10), MiniMax-M2.1: —

Multimodal benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
LMArena Vision	1245	—
Blueprint-Bench 2	36.9%	—
Furniture Assembly	58.3%	—

Multilingual Too close to call

GPT-6 Sol: 50.5 (#118), MiniMax-M2.1: 50.0 (#128)

Multilingual benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
LMArena Non-English	1385	1378
LMArena Chinese	1405	1430
LMArena French	1410	1404
LMArena German	1390	1381
LMArena Japanese	1385	1287
LMArena Korean	1341	1298
LMArena Russian	1401	1387
LMArena Spanish	1384	1397

Instruction Following Too close to call

GPT-6 Sol: 74.5 (#94), MiniMax-M2.1: 73.8 (#112)

Instruction Following benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
LMArena Instruction Following	1412	1400

Long Context Too close to call

GPT-6 Sol: 43.1 (#108), MiniMax-M2.1: 43.2 (#101)

Long Context benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
LMArena Longer Query	1411	1416

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 71.9 (#18), MiniMax-M2.1: 58.3 (#120)

Writing & Preference benchmarks
Benchmark	GPT-6 Sol	MiniMax-M2.1
LMArena Text	1395	1392
LMArena Creative Writing	1378	1361
LMArena Multi-Turn	1412	1396
EQ-Bench Creative Writing	2125	—

Frequently asked questions

Is GPT-6 Sol better than MiniMax-M2.1?

Which is cheaper, GPT-6 Sol or MiniMax-M2.1?

MiniMax-M2.1 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-6 Sol lists at $2 and $10.

Is GPT-6 Sol or MiniMax-M2.1 better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 40.4 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do GPT-6 Sol and MiniMax-M2.1 share?

21 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and MiniMax-M2.1 has 22.