Noometry

Model comparison

GPT-5.1-Codex vs MiniMax-M3

MiniMax-M3 is the stronger model overall, scoring 43.8 to 38.6 on the Noometry Index.

Last verified . 3 shared benchmarks.

GPT-5.1-Codex OpenAI

38.6

Rank #186 Reported

MiniMax-M3 MiniMax

43.8

Rank #85 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GPT-5.1-Codex scores higher in 2 categories and MiniMax-M3 in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in agentic & tool use, where GPT-5.1-Codex leads 38.0 to 22.6.
  • The biggest single-benchmark swing is ProofBench: 9% for GPT-5.1-Codex and 18% for MiniMax-M3.
  • MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
  • MiniMax-M3 accepts more context: 1M tokens versus 400K.
  • MiniMax-M3 has downloadable open weights; the other is API-only.

Side by side

GPT-5.1-CodexMiniMax-M3
ProviderOpenAIMiniMax
Noometry Index38.643.8
Released2025-11-122026-06-01
WeightsProprietaryOpen
Context window400K1M
Max output128K512K
Input $ / M tokens$1.25$0.30
Output $ / M tokens$10$1.20
Results tracked641

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Category by category

Coding Too close to call

GPT-5.1-Codex: 41.9 (#116), MiniMax-M3: 41.8 (#118)

BenchmarkGPT-5.1-CodexMiniMax-M3
LMArena WebDev13371482
ALE-Bench1,245640.02
FrontierCode—14.7%
SWE-bench Verified (bash only)66%—
SciCode—47.1%
LMArena Coding—1469

Agentic & Tool Use GPT-5.1-Codex leads

GPT-5.1-Codex: 38.0 (#33), MiniMax-M3: 22.6 (#130)

BenchmarkGPT-5.1-CodexMiniMax-M3
Terminal-Bench60.4%—
APEX-Agents—37.7%
OSWorld 2.0—4.6%
GBAEval—0.9%
METR Time Horizons70.8%—
Vending-Bench 2—2,158

Reasoning Not comparable

GPT-5.1-Codex: —, MiniMax-M3: 30.1 (#87)

BenchmarkGPT-5.1-CodexMiniMax-M3
SimpleBench—45.8%
NYT Connections (extended)—65.1%
CritPt—3.7%
Chess Puzzles—14%
LMArena Hard Prompts—1447
Mystery Game Puzzles—8%
DTBench—78.9%
LMCA—33.7%
Surface Evolver Bench—55%
Epoch Capabilities Index—146.95
ForecastBench—61.4

Math MiniMax-M3 leads

GPT-5.1-Codex: 30.3 (#235), MiniMax-M3: 40.0 (#95)

BenchmarkGPT-5.1-CodexMiniMax-M3
ProofBench9%18%
OTIS Mock AIME 2024-2025—71.1%
LMArena Math—1429

Knowledge Not comparable

GPT-5.1-Codex: —, MiniMax-M3: 58.4 (#35)

BenchmarkGPT-5.1-CodexMiniMax-M3
GPQA Diamond—90.9%
LMArena Expert—1461

Multimodal Not comparable

GPT-5.1-Codex: —, MiniMax-M3: 40.2 (#51)

BenchmarkGPT-5.1-CodexMiniMax-M3
LMArena Vision—1253
LMArena Document—1435

Multilingual Not comparable

GPT-5.1-Codex: —, MiniMax-M3: 53.0 (#75)

BenchmarkGPT-5.1-CodexMiniMax-M3
LMArena Non-English—1420
LMArena Chinese—1463
LMArena French—1447
LMArena German—1426
LMArena Japanese—1381
LMArena Korean—1372
LMArena Russian—1428
LMArena Spanish—1432

Instruction Following Not comparable

GPT-5.1-Codex: —, MiniMax-M3: 75.5 (#62)

BenchmarkGPT-5.1-CodexMiniMax-M3
LMArena Instruction Following—1433

Long Context Not comparable

GPT-5.1-Codex: —, MiniMax-M3: 44.2 (#72)

BenchmarkGPT-5.1-CodexMiniMax-M3
LMArena Longer Query—1445

Writing & Preference Not comparable

GPT-5.1-Codex: —, MiniMax-M3: 62.1 (#83)

BenchmarkGPT-5.1-CodexMiniMax-M3
LMArena Text—1433
LMArena Creative Writing—1404
EQ-Bench 4—1150
LMArena Multi-Turn—1442

Frequently asked questions

Is GPT-5.1-Codex better than MiniMax-M3?

MiniMax-M3 is the stronger model overall, scoring 43.8 to 38.6 on the Noometry Index.

Which is cheaper, GPT-5.1-Codex or MiniMax-M3?

MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.

Is GPT-5.1-Codex or MiniMax-M3 better for coding?

They score almost the same on coding (41.9 vs 41.8); test both on your own repository before choosing.

Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 400K.

How many benchmarks do GPT-5.1-Codex and MiniMax-M3 share?

3 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and MiniMax-M3 has 41.

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