Model comparison
Llama 4 Maverick vs phi-3-medium 14B
Llama 4 Maverick is the stronger model overall, scoring 30.9 to 29.7 on the Noometry Index.
Last verified . 5 shared benchmarks.
Meta
MicrosoftSummary
- They share 5 benchmarks with published results for both. Llama 4 Maverick scores higher in 1 category and phi-3-medium 14B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 4 Maverick leads 33.4 to 9.1.
- The biggest single-benchmark swing is MATH Level 5: 73% for Llama 4 Maverick and 17.6% for phi-3-medium 14B.
Side by side
| Llama 4 Maverick | phi-3-medium 14B | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 30.9 | 29.7 |
| Released | 2025-04-05 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.19 | — |
| Output $ / M tokens | $0.65 | — |
| Results tracked | 54 | 13 |
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Category by category
Coding phi-3-medium 14B leads
Llama 4 Maverick: 26.6 (#324), phi-3-medium 14B: 36.8 (#201)
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | 49.7% | 37.6% |
| BigCodeBench Complete | 61.4% | 48.7% |
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| SciCode | 33.1% | — |
| WeirdML | 24.5% | — |
| LMArena Coding | 1302 | — |
| ALE-Bench | 172.97 | — |
Agentic & Tool Use Not comparable
Llama 4 Maverick: 28.2 (#91), phi-3-medium 14B: —
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |
Reasoning Not comparable
Llama 4 Maverick: 10.1 (#342), phi-3-medium 14B: —
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 132.2 | 121.23 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| Kagi LLM Benchmark | 55.9% | — |
| NYT Connections (extended) | 8% | — |
| ARC-AGI-1 | 4.4% | — |
| CritPt | 0% | — |
| EnigmaEval | 0.6% | — |
| LMArena Hard Prompts | 1281 | — |
| DTBench | 61.9% | — |
| LMCA | 15.9% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 57.5 | — |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math phi-3-medium 14B leads
Llama 4 Maverick: 26.0 (#262), phi-3-medium 14B: 27.3 (#250)
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | 73% | 17.6% |
| OTIS Mock AIME 2024-2025 | 20.6% | — |
| Omni-MATH | 42.2% | — |
| LMArena Math | 1299 | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Llama 4 Maverick leads
Llama 4 Maverick: 33.4 (#204), phi-3-medium 14B: 9.1 (#306)
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 67% | 27.6% |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
| LMArena Expert | 1259 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
Llama 4 Maverick: 31.6 (#105), phi-3-medium 14B: —
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1142 | — |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |
Multilingual Not comparable
Llama 4 Maverick: 42.2 (#195), phi-3-medium 14B: —
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1269 | — |
| LMArena Chinese | 1277 | — |
| LMArena French | 1259 | — |
| LMArena German | 1291 | — |
| LMArena Japanese | 1207 | — |
| LMArena Korean | 1203 | — |
| LMArena Russian | 1286 | — |
| LMArena Spanish | 1293 | — |
Instruction Following Not comparable
Llama 4 Maverick: 71.7 (#146), phi-3-medium 14B: —
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| IFEval | 90.8% | — |
| LMArena Instruction Following | 1267 | — |
Long Context Not comparable
Llama 4 Maverick: 31.4 (#279), phi-3-medium 14B: —
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| Fiction.LiveBench | 46.2% | — |
| LMArena Longer Query | 1280 | — |
Writing & Preference Not comparable
Llama 4 Maverick: 38.8 (#252), phi-3-medium 14B: —
| Benchmark | Llama 4 Maverick | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1267 | — |
| Short-Story Creative Writing | 62% | — |
| EQ-Bench Creative Writing | 860 | — |
| WildBench | 80% | — |
| LMArena Multi-Turn | 1289 | — |
Frequently asked questions
Is Llama 4 Maverick better than phi-3-medium 14B?
Llama 4 Maverick is the stronger model overall, scoring 30.9 to 29.7 on the Noometry Index.
Is Llama 4 Maverick or phi-3-medium 14B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 26.6 in the Noometry coding category.
How many benchmarks do Llama 4 Maverick and phi-3-medium 14B share?
5 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and phi-3-medium 14B has 13.