Model comparison

GPT-5.2 Codex vs MiniMax M1

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 40.3 on the Noometry Index. MiniMax M1 costs 5.0× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

Last verified October 12, 2026. 0 shared benchmarks.

GPT-5.2 Codex OpenAI

42.6

Rank #111 Reported

MiniMax M1

MiniMax

40.3

Rank #150 Confirmed

Summary

The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 39.9.
MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
MiniMax M1 accepts more context: 1M tokens versus 400K.
MiniMax M1 has downloadable open weights; the other is API-only.

Side by side

GPT-5.2 Codex and MiniMax M1 specifications
	GPT-5.2 Codex	MiniMax M1
Provider	OpenAI	MiniMax
Noometry Index	42.6	40.3
Released	2025-12-18	2025-06-13
Weights	Proprietary	Open
Context window	400K	1M
Max output	128K	40K
Input $ / M tokens	$1.75	$0.55
Output $ / M tokens	$14	$2.20
Results tracked	5	18

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Category by category

Coding GPT-5.2 Codex leads

GPT-5.2 Codex: 45.5 (#71), MiniMax M1: 39.9 (#153)

Coding benchmarks
Benchmark	GPT-5.2 Codex	MiniMax M1
SWE-bench Verified (bash only)	72.8%	—
LMArena WebDev	1339	—
SWE-bench Multilingual	66.3%	—
LMArena Coding	—	1359
ALE-Bench	1,300	—

Agentic & Tool Use Not comparable

GPT-5.2 Codex: 41.0 (#22), MiniMax M1: —

Agentic & Tool Use benchmarks
Benchmark	GPT-5.2 Codex	MiniMax M1
Terminal-Bench	66.5%	—

Reasoning Not comparable

GPT-5.2 Codex: —, MiniMax M1: 26.9 (#126)

Reasoning benchmarks
Benchmark	GPT-5.2 Codex	MiniMax M1
LMArena Hard Prompts	—	1339

Math Not comparable

GPT-5.2 Codex: —, MiniMax M1: 37.5 (#151)

Math benchmarks
Benchmark	GPT-5.2 Codex	MiniMax M1
LMArena Math	—	1361

Knowledge Not comparable

GPT-5.2 Codex: —, MiniMax M1: 36.4 (#170)

Knowledge benchmarks
Benchmark	GPT-5.2 Codex	MiniMax M1
LMArena Expert	—	1317

Multilingual Not comparable

GPT-5.2 Codex: —, MiniMax M1: 45.8 (#163)

Multilingual benchmarks
Benchmark	GPT-5.2 Codex	MiniMax M1
LMArena Non-English	—	1319
LMArena Chinese	—	1360
LMArena French	—	1370
LMArena German	—	1350
LMArena Japanese	—	1217
LMArena Korean	—	1266
LMArena Russian	—	1329
LMArena Spanish	—	1353

Instruction Following Not comparable

GPT-5.2 Codex: —, MiniMax M1: 69.3 (#174)

Instruction Following benchmarks
Benchmark	GPT-5.2 Codex	MiniMax M1
LMArena Instruction Following	—	1312

Long Context Not comparable

GPT-5.2 Codex: —, MiniMax M1: 41.4 (#141)

Long Context benchmarks
Benchmark	GPT-5.2 Codex	MiniMax M1
Fiction.LiveBench	—	69.4%
LMArena Longer Query	—	1326

Writing & Preference Not comparable

GPT-5.2 Codex: —, MiniMax M1: 53.1 (#161)

Writing & Preference benchmarks
Benchmark	GPT-5.2 Codex	MiniMax M1
LMArena Text	—	1343
LMArena Creative Writing	—	1298
LMArena Multi-Turn	—	1335

Frequently asked questions

Is GPT-5.2 Codex better than MiniMax M1?

Which is cheaper, GPT-5.2 Codex or MiniMax M1?

MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

Is GPT-5.2 Codex or MiniMax M1 better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 39.9 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 400K.

How many benchmarks do GPT-5.2 Codex and MiniMax M1 share?

0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and MiniMax M1 has 18.