Model comparison

GPT-6.1 Sol vs MiniMax-M2.5

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 7.6× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified October 10, 2026. 18 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

MiniMax-M2.5

MiniMax

38.3

Rank #188 Confirmed

Summary

They share 18 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and MiniMax-M2.5 in 0 categories; 9 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 26.9.
The biggest single-benchmark swing is ProofBench: 99% for GPT-6.1 Sol and 4% for MiniMax-M2.5.
MiniMax-M2.5 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
GPT-6.1 Sol accepts more context: 1.05M tokens versus 205K.
MiniMax-M2.5 has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 Sol and MiniMax-M2.5 specifications
	GPT-6.1 Sol	MiniMax-M2.5
Provider	OpenAI	MiniMax
Noometry Index	65.6	38.3
Released	2026-09-29	2026-02-12
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	34	33

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), MiniMax-M2.5: 48.1 (#58)

Coding benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
LMArena WebDev	1755	1387
LMArena Coding	1487	1381
DeepSWE	75.2%	—
FrontierCode	50.2%	—
SWE-bench Verified (bash only)	—	75.8%
SWE-bench Multilingual	—	68.3%
SciCode	55.8%	—
ALE-Bench	—	618.17

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 39.6 (#26), MiniMax-M2.5: 30.4 (#77)

Agentic & Tool Use benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
Terminal-Bench	—	42.7%
APEX-Agents	60%	—
GDP.pdf	32%	—
Vending-Bench 2	—	-23.16

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), MiniMax-M2.5: 17.5 (#292)

Reasoning benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
ARC-AGI-2	94.2%	4.9%
NYT Connections (extended)	95.5%	16.8%
ARC-AGI-1	98.5%	63.7%
LMArena Hard Prompts	1466	1372
Epoch Capabilities Index	166.09	146.68
Kagi LLM Benchmark	—	55.2%
CritPt	31.7%	—
Chess Puzzles	61%	—
EBR-Bench	54.3%	—
Mystery Game Puzzles	80%	—

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), MiniMax-M2.5: 26.9 (#253)

Math benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
ProofBench	99%	4%
LMArena Math	1464	1378
FrontierMath (Tiers 1-3)	93.7%	—
FrontierMath Tier 4	100%	—
OTIS Mock AIME 2024-2025	100%	—

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), MiniMax-M2.5: 39.2 (#135)

Knowledge benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
LMArena Expert	1502	1379
GPQA Diamond	95.4%	—
SimpleQA Verified	73.9%	—
Vectara Hallucination Rate	—	9.1%

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), MiniMax-M2.5: —

Multimodal benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
LMArena Vision	1288	—
Furniture Assembly	80%	—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), MiniMax-M2.5: 47.1 (#152)

Multilingual benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
LMArena Non-English	1438	1338
LMArena Chinese	1477	1393
LMArena Russian	1455	1358
LMArena French	—	1362
LMArena German	—	1362
LMArena Japanese	—	1171
LMArena Korean	—	1232
LMArena Spanish	—	1354

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), MiniMax-M2.5: 71.5 (#148)

Instruction Following benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
LMArena Instruction Following	1468	1353

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), MiniMax-M2.5: 37.5 (#216)

Long Context benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
LMArena Longer Query	1465	1366
CL-bench	—	11.4%
CL-bench Life	—	6.3%

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), MiniMax-M2.5: 53.9 (#153)

Writing & Preference benchmarks
Benchmark	GPT-6.1 Sol	MiniMax-M2.5
LMArena Text	1447	1359
LMArena Creative Writing	1432	1331
LMArena Multi-Turn	1449	1364
EQ-Bench Creative Writing	—	1361

Frequently asked questions

Is GPT-6.1 Sol better than MiniMax-M2.5?

Which is cheaper, GPT-6.1 Sol or MiniMax-M2.5?

MiniMax-M2.5 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or MiniMax-M2.5 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 48.1 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 205K.

How many benchmarks do GPT-6.1 Sol and MiniMax-M2.5 share?

18 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and MiniMax-M2.5 has 33.