Noometry

Model comparison

GPT-3.5-turbo vs MiniMax M1

MiniMax M1 is the stronger model overall, scoring 40.3 to 23.2 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-3.5-turbo OpenAI

23.2

Rank #350 Confirmed

MiniMax M1 MiniMax

40.3

Rank #150 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and MiniMax M1 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiniMax M1 leads 37.5 to 6.3.
  • GPT-3.5-turbo is cheaper at $0.50 / $1.50 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
  • MiniMax M1 accepts more context: 1M tokens versus 16K.
  • MiniMax M1 has downloadable open weights; the other is API-only.

Side by side

GPT-3.5-turboMiniMax M1
ProviderOpenAIMiniMax
Noometry Index23.240.3
Released2023-03-012025-06-13
WeightsProprietaryOpen
Context window16K1M
Max output4K40K
Input $ / M tokens$0.50$0.55
Output $ / M tokens$1.50$2.20
Results tracked4418

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Category by category

Coding MiniMax M1 leads

GPT-3.5-turbo: 23.9 (#331), MiniMax M1: 39.9 (#153)

BenchmarkGPT-3.5-turboMiniMax M1
LMArena Coding11361359
WeirdML3.5%—
BigCodeBench Instruct39.1%—
BigCodeBench Complete50.6%—
HumanEval+70.7%—
MBPP+69.7%—

Agentic & Tool Use Not comparable

GPT-3.5-turbo: —, MiniMax M1: —

BenchmarkGPT-3.5-turboMiniMax M1
METR Time Horizons21.5%—

Reasoning MiniMax M1 leads

GPT-3.5-turbo: 13.8 (#332), MiniMax M1: 26.9 (#126)

BenchmarkGPT-3.5-turboMiniMax M1
LMArena Hard Prompts11081339
Chess Puzzles0%—
Mystery Game Puzzles3%—
DTBench48.5%—
LMCA9.7%—
Adversarial NLI58.1%—
BIG-Bench Hard61.6%—
CommonsenseQA 2.057%—
Epoch Capabilities Index118.55—
ForecastBench50.4—
WinoGrande81.6%—

Math MiniMax M1 leads

GPT-3.5-turbo: 6.3 (#327), MiniMax M1: 37.5 (#151)

BenchmarkGPT-3.5-turboMiniMax M1
LMArena Math11421361
FrontierMath (Tiers 1-3)0%—
OTIS Mock AIME 2024-20252.2%—
MATH Level 515.9%—
GSM8K57.8%—

Knowledge MiniMax M1 leads

GPT-3.5-turbo: 10.0 (#303), MiniMax M1: 36.4 (#170)

BenchmarkGPT-3.5-turboMiniMax M1
LMArena Expert10701317
GPQA Diamond28%—
ARC (AI2) Challenge87.4%—
BoolQ87%—
MMLU71.4%—
OpenBookQA86%—
TriviaQA85.8%—

Multilingual MiniMax M1 leads

GPT-3.5-turbo: 31.5 (#258), MiniMax M1: 45.8 (#163)

BenchmarkGPT-3.5-turboMiniMax M1
LMArena Non-English11081319
LMArena Chinese10751360
LMArena French11181370
LMArena German10901350
LMArena Japanese10431217
LMArena Korean10191266
LMArena Russian11231329
LMArena Spanish11211353

Instruction Following MiniMax M1 leads

GPT-3.5-turbo: 57.9 (#262), MiniMax M1: 69.3 (#174)

BenchmarkGPT-3.5-turboMiniMax M1
LMArena Instruction Following11191312

Long Context MiniMax M1 leads

GPT-3.5-turbo: 34.0 (#254), MiniMax M1: 41.4 (#141)

BenchmarkGPT-3.5-turboMiniMax M1
LMArena Longer Query11211326
Fiction.LiveBench—69.4%

Writing & Preference MiniMax M1 leads

GPT-3.5-turbo: 25.3 (#305), MiniMax M1: 53.1 (#161)

BenchmarkGPT-3.5-turboMiniMax M1
LMArena Text11251343
LMArena Creative Writing10921298
LMArena Multi-Turn11171335
EQ-Bench Creative Writing451—

Frequently asked questions

Is GPT-3.5-turbo better than MiniMax M1?

MiniMax M1 is the stronger model overall, scoring 40.3 to 23.2 on the Noometry Index.

Which is cheaper, GPT-3.5-turbo or MiniMax M1?

GPT-3.5-turbo is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.

Is GPT-3.5-turbo or MiniMax M1 better for coding?

MiniMax M1 scores higher on coding benchmarks: 39.9 versus 23.9 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 16K.

How many benchmarks do GPT-3.5-turbo and MiniMax M1 share?

17 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and MiniMax M1 has 18.

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