# GPT-4.1 vs Olmo 3.1 32b Instruct

> Olmo 3.1 32b Instruct is the stronger model overall, scoring 38.8 to 35.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-vs-olmo-3-1-32b-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 3.1 32b Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Olmo 3.1 32b Instruct leads 25.4 to 11.7.
- Olmo 3.1 32b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 35.7 | 38.8 |
| Rank | 215 | 168 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $8 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1: 34.2 (#228)
- Olmo 3.1 32b Instruct: 38.9 (#154)

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1391 | 1346 |
| 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 3.1 32b Instruct: —

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |

## Reasoning

- GPT-4.1: 11.7 (#334)
- Olmo 3.1 32b Instruct: 25.4 (#131)

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1322 |
| 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 3.1 32b Instruct: 33.6 (#169)

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1369 | 1305 |
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| Omni-MATH | 47.1% | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GPT-4.1: 37.0 (#152)
- Olmo 3.1 32b Instruct: 35.4 (#175)

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1364 | 1307 |
| GPQA Diamond | 66.9% | — |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |

## Multimodal

- GPT-4.1: 37.5 (#66)
- Olmo 3.1 32b Instruct: —

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 72% | — |

## Multilingual

- GPT-4.1: 49.6 (#128)
- Olmo 3.1 32b Instruct: 42.8 (#185)

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1370 | 1275 |
| LMArena Chinese | 1382 | 1304 |
| LMArena French | 1383 | 1328 |
| LMArena German | 1380 | 1283 |
| LMArena Korean | 1339 | 1206 |
| LMArena Russian | 1377 | 1268 |
| LMArena Spanish | 1375 | 1337 |
| LMArena Japanese | 1320 | — |

## Instruction Following

- GPT-4.1: 71.5 (#148)
- Olmo 3.1 32b Instruct: 68.8 (#182)

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1367 | 1298 |
| IFEval | 83.8% | — |

## Long Context

- GPT-4.1: 40.0 (#158)
- Olmo 3.1 32b Instruct: 39.9 (#161)

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1385 | 1312 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.1: 57.8 (#120)
- Olmo 3.1 32b Instruct: 50.4 (#179)

| Benchmark | GPT-4.1 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1383 | 1311 |
| LMArena Creative Writing | 1363 | 1264 |
| LMArena Multi-Turn | 1398 | 1309 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |

## FAQ

### Is GPT-4.1 better than Olmo 3.1 32b Instruct?

Olmo 3.1 32b Instruct is the stronger model overall, scoring 38.8 to 35.7 on the Noometry Index.

### Is GPT-4.1 or Olmo 3.1 32b Instruct better for coding?

Olmo 3.1 32b Instruct scores higher on coding benchmarks: 38.9 versus 34.2 in the Noometry coding category.

### How many benchmarks do GPT-4.1 and Olmo 3.1 32b Instruct share?

16 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Olmo 3.1 32b Instruct has 16.