# GPT-4.1 vs Olmo 2 0325 32b Instruct

> GPT-4.1 is the stronger model overall, scoring 35.7 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-vs-olmo-2-0325-32b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GPT-4.1 scores higher in 5 categories and Olmo 2 0325 32b Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 leads 37.0 to 19.2.
- The biggest single-benchmark swing is MMLU-Pro: 81.1% for GPT-4.1 and 41.4% for Olmo 2 0325 32b Instruct.
- Olmo 2 0325 32b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 35.7 | 32.2 |
| Rank | 215 | 248 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $8 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1: 34.2 (#228)
- Olmo 2 0325 32b Instruct: 34.6 (#222)

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1391 | 1210 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| WeirdML | 39% | — |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |

## Agentic & Tool Use

- GPT-4.1: 34.4 (#40)
- Olmo 2 0325 32b Instruct: —

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |

## Reasoning

- GPT-4.1: 11.7 (#334)
- Olmo 2 0325 32b Instruct: 22.6 (#174)

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1208 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| DTBench | 68.3% | — |
| LMCA | 25.6% | — |
| Epoch Capabilities Index | 136.79 | — |
| ForecastBench | 61.5 | — |

## Math

- GPT-4.1: 21.4 (#269)
- Olmo 2 0325 32b Instruct: 24.8 (#255)

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| Omni-MATH | 47.1% | 16.1% |
| LMArena Math | 1369 | 1208 |
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GPT-4.1: 37.0 (#152)
- Olmo 2 0325 32b Instruct: 19.2 (#274)

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | 81.1% | 41.4% |
| GPQA (HELM) | 65.9% | 28.7% |
| GPQA Diamond | 66.9% | — |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| LMArena Expert | 1364 | — |

## Multimodal

- GPT-4.1: 37.5 (#66)
- Olmo 2 0325 32b Instruct: —

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 72% | — |

## Multilingual

- GPT-4.1: 49.6 (#128)
- Olmo 2 0325 32b Instruct: 35.0 (#243)

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1370 | 1160 |
| LMArena Chinese | 1382 | 1192 |
| LMArena Russian | 1377 | 1187 |
| LMArena French | 1383 | — |
| LMArena German | 1380 | — |
| LMArena Japanese | 1320 | — |
| LMArena Korean | 1339 | — |
| LMArena Spanish | 1375 | — |

## Instruction Following

- GPT-4.1: 71.5 (#148)
- Olmo 2 0325 32b Instruct: 61.8 (#238)

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| IFEval | 83.8% | 78% |
| LMArena Instruction Following | 1367 | 1186 |

## Long Context

- GPT-4.1: 40.0 (#158)
- Olmo 2 0325 32b Instruct: 36.2 (#229)

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1385 | 1194 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.1: 57.8 (#120)
- Olmo 2 0325 32b Instruct: 42.3 (#231)

| Benchmark | GPT-4.1 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1383 | 1218 |
| LMArena Creative Writing | 1363 | 1199 |
| WildBench | 85.4% | 73.4% |
| LMArena Multi-Turn | 1398 | 1221 |
| EQ-Bench Creative Writing | 1420 | — |

## FAQ

### Is GPT-4.1 better than Olmo 2 0325 32b Instruct?

GPT-4.1 is the stronger model overall, scoring 35.7 to 32.2 on the Noometry Index.

### Is GPT-4.1 or Olmo 2 0325 32b Instruct better for coding?

They score almost the same on coding (34.2 vs 34.6); test both on your own repository before choosing.

### How many benchmarks do GPT-4.1 and Olmo 2 0325 32b Instruct share?

16 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.