Model comparison
Llama 13b vs Llama 3.1-70B
Llama 3.1-70B is the stronger model overall, scoring 29.6 to 24.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
MetaSummary
- They share 10 benchmarks with published results for both. Llama 13b scores higher in 1 category and Llama 3.1-70B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama 3.1-70B leads 65.3 to 36.7.
Side by side
| Llama 13b | Llama 3.1-70B | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 24.4 | 29.6 |
| Released | 2023-02-24 | 2024-07-23 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 21 | 35 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Llama 3.1-70B leads
Llama 13b: 21.4 (#337), Llama 3.1-70B: 30.3 (#296)
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| LMArena Coding | 683 | 1260 |
| WeirdML | — | 9% |
| BigCodeBench Instruct | — | 46.1% |
| BigCodeBench Complete | — | 54.8% |
Agentic & Tool Use Not comparable
Llama 13b: —, Llama 3.1-70B: 25.1 (#112)
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| TheAgentCompany | — | 6.9% |
| BALROG | — | 27.9% |
Reasoning Llama 3.1-70B leads
Llama 13b: 14.0 (#329), Llama 3.1-70B: 21.6 (#220)
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| LMArena Hard Prompts | 728 | 1241 |
| Epoch Capabilities Index | 100.58 | 125.92 |
| DTBench | — | 60% |
| LMCA | — | 14.8% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Llama 13b leads
Llama 13b: 26.7 (#256), Llama 3.1-70B: 13.5 (#304)
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| LMArena Math | 838 | 1252 |
| OTIS Mock AIME 2024-2025 | — | 3.6% |
| Omni-MATH | — | 21% |
| MATH Level 5 | — | 36.7% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Llama 3.1-70B: 24.2 (#269)
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| MMLU | 47.7% | 80.1% |
| GPQA Diamond | — | 44.2% |
| MMLU-Pro | — | 65.3% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1209 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Llama 3.1-70B: —
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Llama 3.1-70B leads
Llama 13b: 16.6 (#297), Llama 3.1-70B: 38.8 (#225)
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | 819 | 1219 |
| LMArena Chinese | — | 1215 |
| LMArena French | — | 1261 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1132 |
| LMArena Korean | — | 1140 |
| LMArena Russian | — | 1234 |
| LMArena Spanish | — | 1253 |
Instruction Following Llama 3.1-70B leads
Llama 13b: 36.7 (#305), Llama 3.1-70B: 65.3 (#223)
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| LMArena Instruction Following | 781 | 1231 |
| IFEval | — | 82.1% |
Long Context Not comparable
Llama 13b: —, Llama 3.1-70B: 37.6 (#214)
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | — | 1241 |
Writing & Preference Llama 3.1-70B leads
Llama 13b: 13.8 (#312), Llama 3.1-70B: 35.4 (#267)
| Benchmark | Llama 13b | Llama 3.1-70B |
|---|---|---|
| LMArena Text | 834 | 1261 |
| LMArena Creative Writing | 794 | 1232 |
| LMArena Multi-Turn | 753 | 1256 |
| EQ-Bench Creative Writing | — | 784 |
| WildBench | — | 75.8% |
Frequently asked questions
Is Llama 13b better than Llama 3.1-70B?
Llama 3.1-70B is the stronger model overall, scoring 29.6 to 24.4 on the Noometry Index.
Is Llama 13b or Llama 3.1-70B better for coding?
Llama 3.1-70B scores higher on coding benchmarks: 30.3 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Llama 3.1-70B share?
10 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Llama 3.1-70B has 35.