Model comparison

GPT-5.6 Terra vs MiniMax-M2.5

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 8.6× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

Last verified October 10, 2026. 27 shared benchmarks.

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

MiniMax-M2.5

MiniMax

38.3

Rank #188 Confirmed

Summary

They share 27 benchmarks with published results for both. GPT-5.6 Terra 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-5.6 Terra leads 81.6 to 26.9.
The biggest single-benchmark swing is ARC-AGI-2: 83.9% for GPT-5.6 Terra and 4.9% for MiniMax-M2.5.
MiniMax-M2.5 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $12 for GPT-5.6 Terra.
GPT-5.6 Terra accepts more context: 1.05M tokens versus 205K.
MiniMax-M2.5 has downloadable open weights; the other is API-only.

Side by side

GPT-5.6 Terra and MiniMax-M2.5 specifications
	GPT-5.6 Terra	MiniMax-M2.5
Provider	OpenAI	MiniMax
Noometry Index	59.2	38.3
Released	2026-07-09	2026-02-12
Weights	Proprietary	Open
Context window	1.05M	205K
Max output	128K	131K
Input $ / M tokens	$2	$0.30
Output $ / M tokens	$12	$1.20
Results tracked	52	33

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Category by category

Coding GPT-5.6 Terra leads

GPT-5.6 Terra: 57.7 (#19), MiniMax-M2.5: 48.1 (#58)

Coding benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
LMArena WebDev	1522	1387
LMArena Coding	1484	1381
ALE-Bench	1,951	618.17
DeepSWE	69.6%	—
FrontierCode	41.3%	—
SWE-bench Verified (bash only)	—	75.8%
CursorBench	41.3%	—
SWE-bench Multilingual	—	68.3%
SciCode	55%	—
WeirdML	78.3%	—

Agentic & Tool Use GPT-5.6 Terra leads

GPT-5.6 Terra: 40.1 (#25), MiniMax-M2.5: 30.4 (#77)

Agentic & Tool Use benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
Vending-Bench 2	7,343	-23.16
Terminal-Bench	—	42.7%
APEX-Agents	58.2%	—
BALROG	53.2%	—
GDP.pdf	24.7%	—

Reasoning GPT-5.6 Terra leads

GPT-5.6 Terra: 60.7 (#21), MiniMax-M2.5: 17.5 (#292)

Reasoning benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
ARC-AGI-2	83.9%	4.9%
Kagi LLM Benchmark	51.3%	55.2%
NYT Connections (extended)	78.4%	16.8%
ARC-AGI-1	96.5%	63.7%
LMArena Hard Prompts	1468	1372
Epoch Capabilities Index	159.62	146.68
SimpleBench	48.9%	—
CritPt	30%	—
Chess Puzzles	54%	—
Mystery Game Puzzles	35%	—
DTBench	93.3%	—
LMCA	55%	—
Surface Evolver Bench	83.8%	—

Math GPT-5.6 Terra leads

GPT-5.6 Terra: 81.6 (#12), MiniMax-M2.5: 26.9 (#253)

Math benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
ProofBench	74%	4%
LMArena Math	1466	1378
FrontierMath (Tiers 1-3)	86%	—
FrontierMath Tier 4	70.7%	—
OTIS Mock AIME 2024-2025	99.7%	—

Knowledge GPT-5.6 Terra leads

GPT-5.6 Terra: 61.2 (#30), MiniMax-M2.5: 39.2 (#135)

Knowledge benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
LMArena Expert	1492	1379
GPQA Diamond	93.3%	—
SimpleQA Verified	43.2%	—
Vectara Hallucination Rate	—	9.1%

Multimodal Not comparable

GPT-5.6 Terra: 47.3 (#11), MiniMax-M2.5: —

Multimodal benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
LMArena Vision	1271	—
Blueprint-Bench 2	30.8%	—
Furniture Assembly	54.2%	—
LMArena Document	1472	—

Multilingual GPT-5.6 Terra leads

GPT-5.6 Terra: 54.4 (#44), MiniMax-M2.5: 47.1 (#152)

Multilingual benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
LMArena Non-English	1439	1338
LMArena Chinese	1513	1393
LMArena French	1471	1362
LMArena German	1460	1362
LMArena Japanese	1457	1171
LMArena Korean	1425	1232
LMArena Russian	1450	1358
LMArena Spanish	1448	1354

Instruction Following GPT-5.6 Terra leads

GPT-5.6 Terra: 76.4 (#40), MiniMax-M2.5: 71.5 (#148)

Instruction Following benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
LMArena Instruction Following	1454	1353

Long Context GPT-5.6 Terra leads

GPT-5.6 Terra: 44.4 (#68), MiniMax-M2.5: 37.5 (#216)

Long Context benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
LMArena Longer Query	1451	1366
CL-bench	—	11.4%
CL-bench Life	—	6.3%

Writing & Preference GPT-5.6 Terra leads

GPT-5.6 Terra: 70.2 (#23), MiniMax-M2.5: 53.9 (#153)

Writing & Preference benchmarks
Benchmark	GPT-5.6 Terra	MiniMax-M2.5
LMArena Text	1447	1359
LMArena Creative Writing	1410	1331
EQ-Bench Creative Writing	1855	1361
LMArena Multi-Turn	1449	1364
EQ-Bench 4	1234	—

Frequently asked questions

Is GPT-5.6 Terra better than MiniMax-M2.5?

Which is cheaper, GPT-5.6 Terra 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-5.6 Terra lists at $2 and $12.

Is GPT-5.6 Terra or MiniMax-M2.5 better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 48.1 in the Noometry coding category.

Which has the bigger context window?

GPT-5.6 Terra does, with 1.05M tokens against 205K.

How many benchmarks do GPT-5.6 Terra and MiniMax-M2.5 share?

27 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and MiniMax-M2.5 has 33.