Model comparison
Llama 3.1-70B vs Llama 3-8B
Llama 3.1-70B is the stronger model overall, scoring 29.6 to 25.5 on the Noometry Index.
Last verified . 25 shared benchmarks.
MetaSummary
- They share 25 benchmarks with published results for both. Llama 3.1-70B scores higher in 6 categories and Llama 3-8B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.1-70B leads 24.2 to 7.8.
- The biggest single-benchmark swing is MATH Level 5: 36.7% for Llama 3.1-70B and 6.1% for Llama 3-8B.
Side by side
| Llama 3.1-70B | Llama 3-8B | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.6 | 25.5 |
| Released | 2024-07-23 | 2024-04-18 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 35 | 34 |
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Category by category
Coding Too close to call
Llama 3.1-70B: 30.3 (#296), Llama 3-8B: 31.0 (#289)
| Benchmark | Llama 3.1-70B | Llama 3-8B |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 31.9% |
| LMArena Coding | 1260 | 1152 |
| BigCodeBench Complete | 54.8% | 36.9% |
| WeirdML | 9% | — |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Llama 3-8B: —
| Benchmark | Llama 3.1-70B | Llama 3-8B |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Llama 3.1-70B leads
Llama 3.1-70B: 21.6 (#220), Llama 3-8B: 14.3 (#326)
| Benchmark | Llama 3.1-70B | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1133 |
| DTBench | 60% | 43.9% |
| Epoch Capabilities Index | 125.92 | 116.45 |
| Chess Puzzles | — | 0% |
| LMCA | 14.8% | — |
| Adversarial NLI | — | 57.3% |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Llama 3.1-70B leads
Llama 3.1-70B: 13.5 (#304), Llama 3-8B: 8.8 (#323)
| Benchmark | Llama 3.1-70B | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.6% | 1.9% |
| LMArena Math | 1252 | 1151 |
| MATH Level 5 | 36.7% | 6.1% |
| Omni-MATH | 21% | — |
Knowledge Llama 3.1-70B leads
Llama 3.1-70B: 24.2 (#269), Llama 3-8B: 7.8 (#308)
| Benchmark | Llama 3.1-70B | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 44.2% | 26.1% |
| LMArena Expert | 1209 | 1113 |
| MMLU | 80.1% | 68.8% |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| ARC (AI2) Challenge | — | 82.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Llama 3.1-70B leads
Llama 3.1-70B: 38.8 (#225), Llama 3-8B: 30.8 (#261)
| Benchmark | Llama 3.1-70B | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1219 | 1098 |
| LMArena Chinese | 1215 | 1076 |
| LMArena French | 1261 | 1159 |
| LMArena German | 1222 | 1104 |
| LMArena Japanese | 1132 | 967 |
| LMArena Korean | 1140 | 1004 |
| LMArena Russian | 1234 | 1109 |
| LMArena Spanish | 1253 | 1173 |
Instruction Following Llama 3.1-70B leads
Llama 3.1-70B: 65.3 (#223), Llama 3-8B: 58.4 (#260)
| Benchmark | Llama 3.1-70B | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1231 | 1127 |
| IFEval | 82.1% | — |
Long Context Llama 3.1-70B leads
Llama 3.1-70B: 37.6 (#214), Llama 3-8B: 34.2 (#251)
| Benchmark | Llama 3.1-70B | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1241 | 1128 |
Writing & Preference Llama 3-8B leads
Llama 3.1-70B: 35.4 (#267), Llama 3-8B: 37.5 (#256)
| Benchmark | Llama 3.1-70B | Llama 3-8B |
|---|---|---|
| LMArena Text | 1261 | 1166 |
| LMArena Creative Writing | 1232 | 1150 |
| LMArena Multi-Turn | 1256 | 1152 |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
Frequently asked questions
Is Llama 3.1-70B better than Llama 3-8B?
Llama 3.1-70B is the stronger model overall, scoring 29.6 to 25.5 on the Noometry Index.
Is Llama 3.1-70B or Llama 3-8B better for coding?
They score almost the same on coding (30.3 vs 31.0); test both on your own repository before choosing.
How many benchmarks do Llama 3.1-70B and Llama 3-8B share?
25 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Llama 3-8B has 34.