Model comparison
INTELLECT-1 vs Llama 3.1-8B
Llama 3.1-8B has enough public results to be ranked (#352); 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 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| INTELLECT-1 | Llama 3.1-8B | |
|---|---|---|
| Provider | Hugging Face | Meta |
| Noometry Index | — | 23.0 |
| Released | 2024-11-29 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 7 | 43 |
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Category by category
Coding Not comparable
INTELLECT-1: —, Llama 3.1-8B: 20.2 (#340)
| Benchmark | INTELLECT-1 | Llama 3.1-8B |
|---|---|---|
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| LMArena Coding | — | 1195 |
| BigCodeBench Complete | — | 40.5% |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |
Agentic & Tool Use Not comparable
INTELLECT-1: —, Llama 3.1-8B: 22.5 (#131)
| Benchmark | INTELLECT-1 | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |
Reasoning Not comparable
INTELLECT-1: —, Llama 3.1-8B: 14.9 (#321)
| Benchmark | INTELLECT-1 | Llama 3.1-8B |
|---|---|---|
| Epoch Capabilities Index | 100.86 | 116.57 |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1175 |
| DTBench | — | 50.9% |
| LMCA | — | 5.4% |
| BIG-Bench Hard | 34.9% | — |
| HellaSwag | 71.4% | — |
| PIQA | — | 81.2% |
| WinoGrande | 65.8% | — |
Math Not comparable
INTELLECT-1: —, Llama 3.1-8B: 10.2 (#317)
| Benchmark | INTELLECT-1 | Llama 3.1-8B |
|---|---|---|
| GSM8K | 38.6% | 82.4% |
| OTIS Mock AIME 2024-2025 | — | 1.7% |
| Omni-MATH | — | 13.7% |
| LMArena Math | — | 1179 |
| MATH Level 5 | — | 22.9% |
Knowledge Not comparable
INTELLECT-1: —, Llama 3.1-8B: 8.0 (#307)
| Benchmark | INTELLECT-1 | Llama 3.1-8B |
|---|---|---|
| MMLU | 49.9% | 56.1% |
| GPQA Diamond | — | 27% |
| MMLU-Pro | — | 40.6% |
| GPQA (HELM) | — | 24.7% |
| LMArena Expert | — | 1144 |
| ARC (AI2) Challenge | 54.5% | — |
| BoolQ | — | 82.8% |
Multilingual Not comparable
INTELLECT-1: —, Llama 3.1-8B: 34.0 (#249)
| Benchmark | INTELLECT-1 | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | — | 1148 |
| LMArena Chinese | — | 1151 |
| LMArena French | — | 1177 |
| LMArena German | — | 1144 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1053 |
| LMArena Russian | — | 1158 |
| LMArena Spanish | — | 1169 |
Instruction Following Not comparable
INTELLECT-1: —, Llama 3.1-8B: 58.9 (#258)
| Benchmark | INTELLECT-1 | Llama 3.1-8B |
|---|---|---|
| IFEval | — | 74.3% |
| LMArena Instruction Following | — | 1159 |
Long Context Not comparable
INTELLECT-1: —, Llama 3.1-8B: 35.8 (#238)
| Benchmark | INTELLECT-1 | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | — | 1182 |
Writing & Preference Not comparable
INTELLECT-1: —, Llama 3.1-8B: 29.7 (#290)
| Benchmark | INTELLECT-1 | Llama 3.1-8B |
|---|---|---|
| LMArena Text | — | 1187 |
| LMArena Creative Writing | — | 1154 |
| EQ-Bench Creative Writing | — | 713 |
| WildBench | — | 68.7% |
| LMArena Multi-Turn | — | 1172 |
Frequently asked questions
Is INTELLECT-1 better than Llama 3.1-8B?
Llama 3.1-8B has enough public results to be ranked (#352); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do INTELLECT-1 and Llama 3.1-8B share?
3 benchmarks have published results for both models. INTELLECT-1 has 7 scored results on Noometry and Llama 3.1-8B has 43.