Model comparison
INTELLECT-1 vs Llama 3-70B
Llama 3-70B has enough public results to be ranked (#323); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
Hugging Face
MetaSummary
- They share 3 benchmarks with published results for both.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| INTELLECT-1 | Llama 3-70B | |
|---|---|---|
| Provider | Hugging Face | Meta |
| Noometry Index | — | 28.8 |
| Released | 2024-11-29 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 31 |
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Category by category
Coding Not comparable
INTELLECT-1: —, Llama 3-70B: 35.8 (#218)
| Benchmark | INTELLECT-1 | Llama 3-70B |
|---|---|---|
| BigCodeBench Instruct | — | 43.6% |
| LMArena Coding | — | 1206 |
| BigCodeBench Complete | — | 54.5% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Not comparable
INTELLECT-1: —, Llama 3-70B: 21.1 (#139)
| Benchmark | INTELLECT-1 | Llama 3-70B |
|---|---|---|
| Cybench | — | 5% |
Reasoning Not comparable
INTELLECT-1: —, Llama 3-70B: 18.0 (#288)
| Benchmark | INTELLECT-1 | Llama 3-70B |
|---|---|---|
| Epoch Capabilities Index | 100.86 | 122.93 |
| WinoGrande | 65.8% | 83.5% |
| Kagi LLM Benchmark | — | 35.1% |
| LMArena Hard Prompts | — | 1195 |
| DTBench | — | 54.2% |
| BIG-Bench Hard | 34.9% | — |
| ForecastBench | — | 57.1 |
| HellaSwag | 71.4% | — |
Math Not comparable
INTELLECT-1: —, Llama 3-70B: 12.8 (#305)
| Benchmark | INTELLECT-1 | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 4.3% |
| LMArena Math | — | 1218 |
| MATH Level 5 | — | 22.6% |
| GSM8K | 38.6% | — |
Knowledge Not comparable
INTELLECT-1: —, Llama 3-70B: 20.8 (#277)
| Benchmark | INTELLECT-1 | Llama 3-70B |
|---|---|---|
| MMLU | 49.9% | 79.3% |
| GPQA Diamond | — | 40.6% |
| LMArena Expert | — | 1149 |
| ARC (AI2) Challenge | 54.5% | — |
Multilingual Not comparable
INTELLECT-1: —, Llama 3-70B: 33.6 (#251)
| Benchmark | INTELLECT-1 | Llama 3-70B |
|---|---|---|
| LMArena Non-English | — | 1142 |
| LMArena Chinese | — | 1114 |
| LMArena French | — | 1232 |
| LMArena German | — | 1169 |
| LMArena Japanese | — | 1017 |
| LMArena Korean | — | 1017 |
| LMArena Russian | — | 1159 |
| LMArena Spanish | — | 1241 |
Instruction Following Not comparable
INTELLECT-1: —, Llama 3-70B: 62.5 (#238)
| Benchmark | INTELLECT-1 | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | — | 1194 |
Long Context Not comparable
INTELLECT-1: —, Llama 3-70B: 35.6 (#240)
| Benchmark | INTELLECT-1 | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | — | 1174 |
Writing & Preference Not comparable
INTELLECT-1: —, Llama 3-70B: 42.8 (#231)
| Benchmark | INTELLECT-1 | Llama 3-70B |
|---|---|---|
| LMArena Text | — | 1221 |
| LMArena Creative Writing | — | 1210 |
| LMArena Multi-Turn | — | 1223 |
Frequently asked questions
Is INTELLECT-1 better than Llama 3-70B?
Llama 3-70B has enough public results to be ranked (#323); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do INTELLECT-1 and Llama 3-70B share?
3 benchmarks have published results for both models. INTELLECT-1 has 7 scored results on Noometry and Llama 3-70B has 31.