Model comparison
Llama 3-70B vs Llama 4 Maverick
Llama 4 Maverick is the stronger model overall, scoring 30.9 to 28.8 on the Noometry Index.
Last verified . 26 shared benchmarks.
MetaSummary
- They share 26 benchmarks with published results for both. Llama 3-70B scores higher in 4 categories and Llama 4 Maverick in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 4 Maverick leads 26.0 to 12.8.
- The biggest single-benchmark swing is MATH Level 5: 22.6% for Llama 3-70B and 73% for Llama 4 Maverick.
Side by side
| Llama 3-70B | Llama 4 Maverick | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 28.8 | 30.9 |
| Released | 2024-04-18 | 2025-04-05 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $0.65 |
| Results tracked | 31 | 54 |
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Category by category
Coding Llama 3-70B leads
Llama 3-70B: 35.8 (#218), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| BigCodeBench Instruct | 43.6% | 49.7% |
| LMArena Coding | 1206 | 1302 |
| BigCodeBench Complete | 54.5% | 61.4% |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| ALE-Bench | — | 172.97 |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Llama 4 Maverick leads
Llama 3-70B: 21.1 (#139), Llama 4 Maverick: 28.2 (#91)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
| Cybench | 5% | — |
Reasoning Llama 3-70B leads
Llama 3-70B: 18.0 (#288), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | 55.9% |
| LMArena Hard Prompts | 1195 | 1281 |
| DTBench | 54.2% | 61.9% |
| Epoch Capabilities Index | 122.93 | 132.2 |
| ForecastBench | 57.1 | 57.5 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.6% |
| LMCA | — | 15.9% |
| WinoGrande | 83.5% | — |
Math Llama 4 Maverick leads
Llama 3-70B: 12.8 (#305), Llama 4 Maverick: 26.0 (#262)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 20.6% |
| LMArena Math | 1218 | 1299 |
| MATH Level 5 | 22.6% | 73% |
| Omni-MATH | — | 42.2% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Llama 4 Maverick leads
Llama 3-70B: 20.8 (#277), Llama 4 Maverick: 33.4 (#204)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 40.6% | 67% |
| LMArena Expert | 1149 | 1259 |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
| MMLU | 79.3% | — |
Multimodal Not comparable
Llama 3-70B: —, Llama 4 Maverick: 31.6 (#105)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Llama 4 Maverick leads
Llama 3-70B: 33.6 (#251), Llama 4 Maverick: 42.2 (#195)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1142 | 1269 |
| LMArena Chinese | 1114 | 1277 |
| LMArena French | 1232 | 1259 |
| LMArena German | 1169 | 1291 |
| LMArena Japanese | 1017 | 1207 |
| LMArena Korean | 1017 | 1203 |
| LMArena Russian | 1159 | 1286 |
| LMArena Spanish | 1241 | 1293 |
Instruction Following Llama 4 Maverick leads
Llama 3-70B: 62.5 (#238), Llama 4 Maverick: 71.7 (#146)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1194 | 1267 |
| IFEval | — | 90.8% |
Long Context Llama 3-70B leads
Llama 3-70B: 35.6 (#240), Llama 4 Maverick: 31.4 (#279)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1174 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Llama 3-70B leads
Llama 3-70B: 42.8 (#231), Llama 4 Maverick: 38.8 (#252)
| Benchmark | Llama 3-70B | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1221 | 1287 |
| LMArena Creative Writing | 1210 | 1267 |
| LMArena Multi-Turn | 1223 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
Frequently asked questions
Is Llama 3-70B better than Llama 4 Maverick?
Llama 4 Maverick is the stronger model overall, scoring 30.9 to 28.8 on the Noometry Index.
Is Llama 3-70B or Llama 4 Maverick better for coding?
Llama 3-70B scores higher on coding benchmarks: 35.8 versus 26.6 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Llama 4 Maverick share?
26 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Llama 4 Maverick has 54.