Model comparison
GPT-4.1 vs OLMo 2 Furious 13B
GPT-4.1 is the stronger model overall, scoring 35.7 to 29.2 on the Noometry Index.
Last verified . 5 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 5 benchmarks with published results for both. GPT-4.1 scores higher in 5 categories and OLMo 2 Furious 13B in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 leads 37.0 to 18.0.
- The biggest single-benchmark swing is MMLU-Pro: 81.1% for GPT-4.1 and 31% for OLMo 2 Furious 13B.
- OLMo 2 Furious 13B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 35.7 | 29.2 |
| Released | 2025-04-14 | 2024-12-31 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 52 | 12 |
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Category by category
Coding GPT-4.1 leads
GPT-4.1: 34.2 (#228), OLMo 2 Furious 13B: 28.1 (#309)
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| WeirdML | 39% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1391 | — |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use Not comparable
GPT-4.1: 34.4 (#40), OLMo 2 Furious 13B: —
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
Reasoning OLMo 2 Furious 13B leads
GPT-4.1: 11.7 (#334), OLMo 2 Furious 13B: 14.8 (#312)
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1384 | — |
| DTBench | 68.3% | — |
| LiveBench Data Analysis | — | 20.6% |
| LMCA | 25.6% | — |
| Epoch Capabilities Index | 136.79 | — |
| ForecastBench | 61.5 | — |
| LiveBench | — | 22.1% |
Math Too close to call
GPT-4.1: 21.4 (#269), OLMo 2 Furious 13B: 21.3 (#270)
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| Omni-MATH | 47.1% | 15.6% |
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1369 | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-4.1 leads
GPT-4.1: 37.0 (#152), OLMo 2 Furious 13B: 18.0 (#278)
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| MMLU-Pro | 81.1% | 31% |
| GPQA (HELM) | 65.9% | 31.6% |
| GPQA Diamond | 66.9% | — |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| LMArena Expert | 1364 | — |
Multimodal Not comparable
GPT-4.1: 37.5 (#66), OLMo 2 Furious 13B: —
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 72% | — |
Multilingual Not comparable
GPT-4.1: 49.6 (#128), OLMo 2 Furious 13B: —
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1370 | — |
| LMArena Chinese | 1382 | — |
| LMArena French | 1383 | — |
| LMArena German | 1380 | — |
| LMArena Japanese | 1320 | — |
| LMArena Korean | 1339 | — |
| LMArena Russian | 1377 | — |
| LMArena Spanish | 1375 | — |
Instruction Following GPT-4.1 leads
GPT-4.1: 71.5 (#148), OLMo 2 Furious 13B: 61.1 (#243)
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| IFEval | 83.8% | 73% |
| LiveBench Instruction Following | — | 60.6% |
| LMArena Instruction Following | 1367 | — |
Long Context Not comparable
GPT-4.1: 40.0 (#158), OLMo 2 Furious 13B: —
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| Fiction.LiveBench | 63.9% | — |
| LMArena Longer Query | 1385 | — |
Writing & Preference GPT-4.1 leads
GPT-4.1: 57.8 (#120), OLMo 2 Furious 13B: 43.0 (#226)
| Benchmark | GPT-4.1 | OLMo 2 Furious 13B |
|---|---|---|
| WildBench | 85.4% | 68.9% |
| LMArena Text | 1383 | — |
| LMArena Creative Writing | 1363 | — |
| EQ-Bench Creative Writing | 1420 | — |
| LMArena Multi-Turn | 1398 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is GPT-4.1 better than OLMo 2 Furious 13B?
GPT-4.1 is the stronger model overall, scoring 35.7 to 29.2 on the Noometry Index.
Is GPT-4.1 or OLMo 2 Furious 13B better for coding?
GPT-4.1 scores higher on coding benchmarks: 34.2 versus 28.1 in the Noometry coding category.
How many benchmarks do GPT-4.1 and OLMo 2 Furious 13B share?
5 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and OLMo 2 Furious 13B has 12.