Model comparison
OLMo 2 Furious 13B vs Phi-4
Phi-4 is the stronger model overall, scoring 31.2 to 29.7 on the Noometry Index.
Last verified . 7 shared benchmarks.
Allen Institute for AI (Ai2)
MicrosoftSummary
- They share 7 benchmarks with published results for both. OLMo 2 Furious 13B scores higher in 3 categories and Phi-4 in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Phi-4 leads 32.6 to 18.3.
- The biggest single-benchmark swing is LiveBench Reasoning: 16.3% for OLMo 2 Furious 13B and 47.8% for Phi-4.
Side by side
| OLMo 2 Furious 13B | Phi-4 | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Microsoft |
| Noometry Index | 29.7 | 31.2 |
| Released | 2024-12-31 | 2024-12-11 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.07 |
| Output $ / M tokens | — | $0.14 |
| Results tracked | 12 | 37 |
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Category by category
Coding Phi-4 leads
OLMo 2 Furious 13B: 28.6 (#313), Phi-4: 34.4 (#239)
| Benchmark | OLMo 2 Furious 13B | Phi-4 |
|---|---|---|
| LiveBench Coding | 10.4% | 30.7% |
| BigCodeBench Instruct | — | 45.5% |
| LMArena Coding | — | 1231 |
| BigCodeBench Complete | — | 55.4% |
Agentic & Tool Use Not comparable
OLMo 2 Furious 13B: —, Phi-4: 22.8 (#128)
| Benchmark | OLMo 2 Furious 13B | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |
Reasoning Phi-4 leads
OLMo 2 Furious 13B: 15.5 (#314), Phi-4: 17.7 (#291)
| Benchmark | OLMo 2 Furious 13B | Phi-4 |
|---|---|---|
| LiveBench Reasoning | 16.3% | 47.8% |
| LiveBench Data Analysis | 20.6% | 45.2% |
| LiveBench | 22.1% | 41.6% |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | — | 1220 |
| Epoch Capabilities Index | — | 130.42 |
Math OLMo 2 Furious 13B leads
OLMo 2 Furious 13B: 23.1 (#273), Phi-4: 20.8 (#285)
| Benchmark | OLMo 2 Furious 13B | Phi-4 |
|---|---|---|
| LiveBench Math | 13.6% | 42% |
| OTIS Mock AIME 2024-2025 | — | 13.8% |
| Omni-MATH | 15.6% | — |
| LMArena Math | — | 1246 |
| MATH Level 5 | — | 64.9% |
Knowledge Phi-4 leads
OLMo 2 Furious 13B: 18.3 (#283), Phi-4: 32.6 (#209)
| Benchmark | OLMo 2 Furious 13B | Phi-4 |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| MMLU-Pro | 31% | — |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| GPQA (HELM) | 31.6% | — |
| LMArena Expert | — | 1203 |
| MMLU | — | 84.8% |
Multilingual Not comparable
OLMo 2 Furious 13B: —, Phi-4: 37.2 (#237)
| Benchmark | OLMo 2 Furious 13B | Phi-4 |
|---|---|---|
| LMArena Non-English | — | 1197 |
| LMArena Chinese | — | 1212 |
| LMArena French | — | 1224 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1158 |
| LMArena Korean | — | 1151 |
| LMArena Russian | — | 1209 |
| LMArena Spanish | — | 1234 |
Instruction Following Too close to call
OLMo 2 Furious 13B: 60.9 (#248), Phi-4: 60.4 (#251)
| Benchmark | OLMo 2 Furious 13B | Phi-4 |
|---|---|---|
| LiveBench Instruction Following | 60.6% | 58.4% |
| IFEval | 73% | — |
| LMArena Instruction Following | — | 1201 |
Long Context Not comparable
OLMo 2 Furious 13B: —, Phi-4: 36.9 (#226)
| Benchmark | OLMo 2 Furious 13B | Phi-4 |
|---|---|---|
| LMArena Longer Query | — | 1217 |
Writing & Preference OLMo 2 Furious 13B leads
OLMo 2 Furious 13B: 42.9 (#230), Phi-4: 40.5 (#244)
| Benchmark | OLMo 2 Furious 13B | Phi-4 |
|---|---|---|
| LiveBench Language | 11.2% | 25.6% |
| LMArena Text | — | 1217 |
| LMArena Creative Writing | — | 1182 |
| Short-Story Creative Writing | — | 62.6% |
| WildBench | 68.9% | — |
| LMArena Multi-Turn | — | 1206 |
Frequently asked questions
Is OLMo 2 Furious 13B better than Phi-4?
Phi-4 is the stronger model overall, scoring 31.2 to 29.7 on the Noometry Index.
Is OLMo 2 Furious 13B or Phi-4 better for coding?
Phi-4 scores higher on coding benchmarks: 34.4 versus 28.6 in the Noometry coding category.
How many benchmarks do OLMo 2 Furious 13B and Phi-4 share?
7 benchmarks have published results for both models. OLMo 2 Furious 13B has 12 scored results on Noometry and Phi-4 has 37.