Model comparison
Llama 2-13B vs Llama-3.3-70B-Instruct
Llama 2-13B and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (29.6 vs 30.6), so choose on price, context window or the category you care about most.
Last verified . 20 shared benchmarks.
MetaSummary
- They share 20 benchmarks with published results for both. Llama 2-13B scores higher in 2 categories and Llama-3.3-70B-Instruct in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama-3.3-70B-Instruct leads 71.1 to 53.3.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 59.5% for Llama-3.3-70B-Instruct.
Side by side
| Llama 2-13B | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.6 | 30.6 |
| Released | 2023-07-18 | 2024-12-06 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 32 | 43 |
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Category by category
Coding Too close to call
Llama 2-13B: 30.9 (#291), Llama-3.3-70B-Instruct: 31.0 (#290)
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Coding | 1062 | 1268 |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Llama-3.3-70B-Instruct: 25.8 (#105)
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning Llama-3.3-70B-Instruct leads
Llama 2-13B: 12.8 (#337), Llama-3.3-70B-Instruct: 14.1 (#327)
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1257 |
| DTBench | 42.2% | 59.5% |
| Epoch Capabilities Index | 106.17 | 127.33 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 50.8% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| BIG-Bench Hard | 58.2% | — |
| ForecastBench | — | 58.6 |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| LiveBench | — | 50.2% |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 31.1 (#229), Llama-3.3-70B-Instruct: 15.3 (#298)
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Math | 1065 | 1267 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
| GSM8K | 36.9% | — |
Knowledge Llama-3.3-70B-Instruct leads
Llama 2-13B: 28.1 (#249), Llama-3.3-70B-Instruct: 30.6 (#226)
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Expert | 1030 | 1225 |
| MMLU | 55.6% | 86.3% |
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Llama-3.3-70B-Instruct: —
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Llama-3.3-70B-Instruct leads
Llama 2-13B: 26.5 (#279), Llama-3.3-70B-Instruct: 39.9 (#220)
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1024 | 1236 |
| LMArena Chinese | 1001 | 1217 |
| LMArena French | 1044 | 1281 |
| LMArena German | 1009 | 1251 |
| LMArena Japanese | 894 | 1150 |
| LMArena Korean | 953 | 1143 |
| LMArena Russian | 1055 | 1252 |
| LMArena Spanish | 1087 | 1270 |
Instruction Following Llama-3.3-70B-Instruct leads
Llama 2-13B: 53.3 (#287), Llama-3.3-70B-Instruct: 71.1 (#157)
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1045 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context Llama 2-13B leads
Llama 2-13B: 32.3 (#269), Llama-3.3-70B-Instruct: 26.4 (#295)
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1064 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Llama-3.3-70B-Instruct leads
Llama 2-13B: 29.8 (#289), Llama-3.3-70B-Instruct: 47.6 (#207)
| Benchmark | Llama 2-13B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1084 | 1274 |
| LMArena Creative Writing | 1047 | 1250 |
| LMArena Multi-Turn | 1050 | 1280 |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Llama 2-13B better than Llama-3.3-70B-Instruct?
Llama 2-13B and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (29.6 vs 30.6), so choose on price, context window or the category you care about most.
Is Llama 2-13B or Llama-3.3-70B-Instruct better for coding?
They score almost the same on coding (30.9 vs 31.0); test both on your own repository before choosing.
How many benchmarks do Llama 2-13B and Llama-3.3-70B-Instruct share?
20 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Llama-3.3-70B-Instruct has 43.