Model comparison
Llama 2-7B vs Llama 4 Maverick
Llama 4 Maverick is the stronger model overall, scoring 30.6 to 28.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. Llama 2-7B scores higher in 3 categories and Llama 4 Maverick in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama 4 Maverick leads 71.9 to 51.0.
Side by side
| Llama 2-7B | Llama 4 Maverick | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 28.6 | 30.6 |
| Released | 2023-07-18 | 2025-04-05 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $0.65 |
| Results tracked | 29 | 54 |
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Category by category
Coding Llama 2-7B leads
Llama 2-7B: 28.7 (#302), Llama 4 Maverick: 26.3 (#318)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| LMArena Coding | 1002 | 1302 |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| BigCodeBench Instruct | — | 49.7% |
| BigCodeBench Complete | — | 61.4% |
| ALE-Bench | — | 172.97 |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Llama 4 Maverick: 27.9 (#86)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
Reasoning Llama 2-7B leads
Llama 2-7B: 15.1 (#309), Llama 4 Maverick: 10.1 (#337)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1281 |
| Epoch Capabilities Index | 98.54 | 132.2 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.6% |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| BIG-Bench Hard | 39.2% | — |
| ForecastBench | — | 57.5 |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 28.2 (#231), Llama 4 Maverick: 24.6 (#256)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| LMArena Math | 1042 | 1299 |
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
| GSM8K | 16.7% | — |
Knowledge Llama 4 Maverick leads
Llama 2-7B: 27.7 (#243), Llama 4 Maverick: 33.3 (#196)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| LMArena Expert | 1036 | 1259 |
| GPQA Diamond | — | 67% |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Llama 4 Maverick: 30.9 (#100)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1141 |
| GeoBench | — | 52% |
| ScienceQA | 43.1% | — |
| SpatialViz-Bench | — | 31.8% |
Multilingual Llama 4 Maverick leads
Llama 2-7B: 23.9 (#288), Llama 4 Maverick: 42.4 (#190)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 973 | 1269 |
| LMArena Chinese | 973 | 1277 |
| LMArena French | 969 | 1258 |
| LMArena German | 978 | 1291 |
| LMArena Russian | 995 | 1286 |
| LMArena Spanish | 1007 | 1293 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
Instruction Following Llama 4 Maverick leads
Llama 2-7B: 51.0 (#293), Llama 4 Maverick: 71.9 (#140)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1006 | 1267 |
| IFEval | — | 90.8% |
Long Context Too close to call
Llama 2-7B: 30.4 (#282), Llama 4 Maverick: 31.4 (#274)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 999 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Llama 4 Maverick leads
Llama 2-7B: 28.1 (#293), Llama 4 Maverick: 39.0 (#247)
| Benchmark | Llama 2-7B | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1053 | 1287 |
| LMArena Creative Writing | 1033 | 1266 |
| LMArena Multi-Turn | 1029 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
Frequently asked questions
Is Llama 2-7B better than Llama 4 Maverick?
Llama 4 Maverick is the stronger model overall, scoring 30.6 to 28.6 on the Noometry Index.
Is Llama 2-7B or Llama 4 Maverick better for coding?
Llama 2-7B scores higher on coding benchmarks: 28.7 versus 26.3 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Llama 4 Maverick share?
16 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Llama 4 Maverick has 54.