Noometry

Model comparison

GPT-5.3 Chat vs MiniMax-M2

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 37.4 on the Noometry Index. MiniMax-M2 costs 9.2× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 15 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and MiniMax-M2 in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 53.0.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • MiniMax-M2 accepts more context: 205K tokens versus 128K.
  • MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatMiniMax-M2
ProviderOpenAIMiniMax
Noometry Index42.837.4
Released2026-03-032025-10-27
WeightsProprietaryOpen
Context window128K205K
Max output16K131K
Input $ / M tokens$1.75$0.30
Output $ / M tokens$14$1.20
Results tracked1821

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 41.4 (#124), MiniMax-M2: 39.3 (#159)

BenchmarkGPT-5.3 ChatMiniMax-M2
LMArena Coding14081370
SWE-bench Verified (bash only)—61%
LMArena WebDev—1297

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, MiniMax-M2: 25.1 (#109)

BenchmarkGPT-5.3 ChatMiniMax-M2
Terminal-Bench—30%
Vending-Bench 2—160.6

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), MiniMax-M2: 19.4 (#258)

BenchmarkGPT-5.3 ChatMiniMax-M2
LMArena Hard Prompts13991357
Kagi LLM Benchmark—57.8%
NYT Connections (extended)—14.8%

Math Too close to call

GPT-5.3 Chat: 38.2 (#142), MiniMax-M2: 37.3 (#160)

BenchmarkGPT-5.3 ChatMiniMax-M2
LMArena Math13891352

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.8 (#140), MiniMax-M2: 37.0 (#163)

BenchmarkGPT-5.3 ChatMiniMax-M2
LMArena Expert13971337

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.3 (#124), MiniMax-M2: 45.3 (#171)

BenchmarkGPT-5.3 ChatMiniMax-M2
LMArena Non-English13821313
LMArena Chinese14321366
LMArena French13971335
LMArena German13841355
LMArena Russian14001331
LMArena Spanish13711326
LMArena Japanese1352—
LMArena Korean1346—

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 72.8 (#129), MiniMax-M2: 70.2 (#166)

BenchmarkGPT-5.3 ChatMiniMax-M2
LMArena Instruction Following13781328

Long Context GPT-5.3 Chat leads

GPT-5.3 Chat: 42.6 (#120), MiniMax-M2: 40.5 (#153)

BenchmarkGPT-5.3 ChatMiniMax-M2
LMArena Longer Query13961331

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), MiniMax-M2: 53.0 (#162)

BenchmarkGPT-5.3 ChatMiniMax-M2
LMArena Text13891340
LMArena Creative Writing13551286
LMArena Multi-Turn14121361
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than MiniMax-M2?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 37.4 on the Noometry Index. MiniMax-M2 costs 9.2× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Which is cheaper, GPT-5.3 Chat or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or MiniMax-M2 better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 39.3 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2 does, with 205K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and MiniMax-M2 share?

15 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and MiniMax-M2 has 21.

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