Noometry

Model comparison

GPT-4.1 mini vs Olmo 3.1 32b Think

Olmo 3.1 32b Think is the stronger model overall, scoring 37.3 to 33.5 on the Noometry Index.

Last verified . 15 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Olmo 3.1 32b Think Allen Institute for AI (Ai2)

37.3

Rank #191 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GPT-4.1 mini scores higher in 3 categories and Olmo 3.1 32b Think in 5 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Olmo 3.1 32b Think leads 24.1 to 10.9.
  • Olmo 3.1 32b Think has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniOlmo 3.1 32b Think
ProviderOpenAIAllen Institute for AI (Ai2)
Noometry Index33.537.3
Released2025-04-14—
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4715

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Category by category

Coding Olmo 3.1 32b Think leads

GPT-4.1 mini: 30.4 (#286), Olmo 3.1 32b Think: 37.1 (#186)

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
LMArena Coding13671292
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.0 (#52), Olmo 3.1 32b Think: —

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
Berkeley Function Calling Leaderboard50.5%—

Reasoning Olmo 3.1 32b Think leads

GPT-4.1 mini: 10.9 (#335), Olmo 3.1 32b Think: 24.1 (#151)

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
LMArena Hard Prompts13491272
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
Epoch Capabilities Index135.01—

Math Olmo 3.1 32b Think leads

GPT-4.1 mini: 23.1 (#264), Olmo 3.1 32b Think: 33.6 (#170)

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
LMArena Math13431305
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Too close to call

GPT-4.1 mini: 34.7 (#183), Olmo 3.1 32b Think: 35.0 (#178)

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
LMArena Expert13381294
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—

Multimodal Not comparable

GPT-4.1 mini: 35.2 (#77), Olmo 3.1 32b Think: —

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.9 (#161), Olmo 3.1 32b Think: 38.3 (#226)

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
LMArena Non-English13181210
LMArena Chinese13291241
LMArena French13571262
LMArena German13491260
LMArena Russian13241193
LMArena Spanish13191288
LMArena Japanese1291—
LMArena Korean1298—

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.9 (#113), Olmo 3.1 32b Think: 65.8 (#213)

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
LMArena Instruction Following13321246
IFEval90.4%—

Long Context Olmo 3.1 32b Think leads

GPT-4.1 mini: 31.8 (#270), Olmo 3.1 32b Think: 38.6 (#190)

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
LMArena Longer Query13441272
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.8 (#193), Olmo 3.1 32b Think: 46.4 (#215)

BenchmarkGPT-4.1 miniOlmo 3.1 32b Think
LMArena Text13411271
LMArena Creative Writing13001226
LMArena Multi-Turn13541252
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Olmo 3.1 32b Think?

Olmo 3.1 32b Think is the stronger model overall, scoring 37.3 to 33.5 on the Noometry Index.

Is GPT-4.1 mini or Olmo 3.1 32b Think better for coding?

Olmo 3.1 32b Think scores higher on coding benchmarks: 37.1 versus 30.4 in the Noometry coding category.

How many benchmarks do GPT-4.1 mini and Olmo 3.1 32b Think share?

15 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Olmo 3.1 32b Think has 15.

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