Noometry

Model comparison

GPT-4.1 vs Olmo 3 32b Think

Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 35.7 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-4.1 OpenAI

35.7

Rank #215 Confirmed

Olmo 3 32b Think Allen Institute for AI (Ai2)

38.1

Rank #182 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-4.1 scores higher in 5 categories and Olmo 3 32b Think in 3 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Olmo 3 32b Think leads 24.9 to 11.7.
  • Olmo 3 32b Think has downloadable open weights; the other is API-only.

Side by side

GPT-4.1Olmo 3 32b Think
ProviderOpenAIAllen Institute for AI (Ai2)
Noometry Index35.738.1
Released2025-04-14—
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$2—
Output $ / M tokens$8—
Results tracked5214

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Category by category

Coding Olmo 3 32b Think leads

GPT-4.1: 34.2 (#228), Olmo 3 32b Think: 38.0 (#169)

BenchmarkGPT-4.1Olmo 3 32b Think
LMArena Coding13911318
SWE-bench Verified48.5%—
SWE-bench Verified (bash only)39.6%—
Aider Polyglot52.4%—
WeirdML39%—
CadEval42%—
ALE-Bench558.1—

Agentic & Tool Use Not comparable

GPT-4.1: 34.4 (#40), Olmo 3 32b Think: —

BenchmarkGPT-4.1Olmo 3 32b Think
Berkeley Function Calling Leaderboard54%—

Reasoning Olmo 3 32b Think leads

GPT-4.1: 11.7 (#334), Olmo 3 32b Think: 24.9 (#138)

BenchmarkGPT-4.1Olmo 3 32b Think
LMArena Hard Prompts13841302
ARC-AGI-20.4%—
SimpleBench27%—
Kagi LLM Benchmark52.3%—
ARC-AGI-15.5%—
Chess Puzzles6%—
EnigmaEval2.2%—
DTBench68.3%—
LMCA25.6%—
Epoch Capabilities Index136.79—
ForecastBench61.5—

Math Olmo 3 32b Think leads

GPT-4.1: 21.4 (#269), Olmo 3 32b Think: 33.8 (#165)

BenchmarkGPT-4.1Olmo 3 32b Think
LMArena Math13691315
FrontierMath (Tiers 1-3)6%—
OTIS Mock AIME 2024-202538.3%—
Omni-MATH47.1%—
MATH Level 583%—
FrontierMath (Feb 2025 set)5.5%—
FrontierMath Tier 4 (v1)0%—

Knowledge GPT-4.1 leads

GPT-4.1: 37.0 (#152), Olmo 3 32b Think: 34.4 (#189)

BenchmarkGPT-4.1Olmo 3 32b Think
LMArena Expert13641272
GPQA Diamond66.9%—
Humanity's Last Exam5.4%—
SimpleQA Verified31.1%—
MMLU-Pro81.1%—
Vectara Hallucination Rate5.6%—
GPQA (HELM)65.9%—

Multimodal Not comparable

GPT-4.1: 37.5 (#66), Olmo 3 32b Think: —

BenchmarkGPT-4.1Olmo 3 32b Think
LMArena Vision1210—
GeoBench72%—

Multilingual GPT-4.1 leads

GPT-4.1: 49.6 (#128), Olmo 3 32b Think: 41.4 (#205)

BenchmarkGPT-4.1Olmo 3 32b Think
LMArena Non-English13701255
LMArena Chinese13821300
LMArena French13831291
LMArena German13801290
LMArena Russian13771255
LMArena Japanese1320—
LMArena Korean1339—
LMArena Spanish1375—

Instruction Following GPT-4.1 leads

GPT-4.1: 71.5 (#148), Olmo 3 32b Think: 67.4 (#193)

BenchmarkGPT-4.1Olmo 3 32b Think
LMArena Instruction Following13671275
IFEval83.8%—

Long Context Too close to call

GPT-4.1: 40.0 (#158), Olmo 3 32b Think: 39.4 (#177)

BenchmarkGPT-4.1Olmo 3 32b Think
LMArena Longer Query13851296
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.1 leads

GPT-4.1: 57.8 (#120), Olmo 3 32b Think: 49.2 (#188)

BenchmarkGPT-4.1Olmo 3 32b Think
LMArena Text13831300
LMArena Creative Writing13631256
LMArena Multi-Turn13981289
EQ-Bench Creative Writing1420—
WildBench85.4%—

Frequently asked questions

Is GPT-4.1 better than Olmo 3 32b Think?

Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 35.7 on the Noometry Index.

Is GPT-4.1 or Olmo 3 32b Think better for coding?

Olmo 3 32b Think scores higher on coding benchmarks: 38.0 versus 34.2 in the Noometry coding category.

How many benchmarks do GPT-4.1 and Olmo 3 32b Think share?

14 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Olmo 3 32b Think has 14.

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